• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    A method of creating a virtual three-dimensional representation of a person comprising the steps of: a) acquiring a plurality of images of a person placed in a reference position in an imaging booth b) calculating by photogrammetry d a raw mesh of said real person. Said acquisition step of the plurality of images consists in recording a series of at least one hundred simultaneous images from image sensors distributed on the interior surface of a closed ovoid-shaped cabin provided with an access door said image sensors being distributed homogeneously with respect to the axis of symmetry of said cabin.
    公开号:FR3061979A1
    申请号:FR1750342
    申请日:2017-01-17
    公开日:2018-07-20
    发明作者:Karim Toubal
    申请人:Exsens；
    IPC主号:
    专利说明:

    Holder (s):
    EXSENS Simplified joint-stock company.
    O Extension request (s):
    (® Agent (s): IP TRUST.
    (54) METHOD FOR CREATING A VIRTUAL THREE-DIMENSIONAL REPRESENTATION OF A PERSON.
    FR 3 061 979 - A1 (57) Method for creating a virtual three-dimensional representation of a person comprising the steps of:
    a) acquisition of a plurality of images of a person placed in a reference position in an imaging booth
    b) photogrammetric calculation of a gross mesh size of said real person.
    Said step of acquiring the plurality of images consists in recording a series of at least one hundred simultaneous images originating from image sensors distributed over the interior surface of a closed cabin of ovoid shape provided with an access door , said image sensors being distributed homogeneously relative to the axis of symmetry of said cabin.

    METHOD FOR CREATING A THREE-DIMENSIONAL REPRESENTATION
    VIRTUAL OF A PERSON
    Field of the invention
    The present invention relates to the field of virtual reality and more specifically the creation of three-dimensional photorealistic digital representations from a series of images of a human person and by means of photogrammetry techniques.
    The 3D people scan (also called 3D body scan, 3D body scan or full 3D scan) allows to digitize the body of a subject using equipment sometimes called 3D body scanner.
    In the same way that a photograph captures the image of a person in two dimensions, a 3D scanner records the shape of the body in three dimensions. The result is a 3D file (also called a 3D model) which can then be stored or edited on a computer, and optionally sent to a 3D printer to be manufactured.
    The sectors mainly using 3D scanning of the human body are games, medicine and fashion to create fixed or animated avatars or to manufacture, for example, realistic figurines of people.
    Two technologies are essentially used for 3D body scan: photogrammetry which uses the reconstruction of 3D volumes from conventional photographs; and structured light, based on the deformation of a projected light which thus makes it possible to calculate the distance, and therefore the position of the points of the body.
    The present invention is part of the first family of solutions, implementing photogrammetric treatments.
    State of the art
    The European patent EP1322911 describing a solution for acquiring a three-dimensional representation of a human body is known in the prior art. The image sensor used for the shooting is supplemented by projectors of luminous patterns on the body and which project such as points and visible structures without the manual orientation of the additional which are fixed on simple geometric structures lines on said body. These viewfinder images facilitate image sensor and positioning of the image sensor at the correct distance from the body, when making the many individual overlapping shots needed for photogrammetric evaluation.
    This manually predetermined orientation facilitates the automatic assignment of the photogrammetric marks in the pairs of individual images by means of image processing methods and makes it possible to carry out this automated assignment in a more secure manner. In a preferred embodiment of the invention, the projectors are switched off during the actual shooting.
    Also known is American patent application US2012206587 describing a skin surface imaging system for capturing at least one image of the skin of the body of a patient, comprising a base and a plurality of image sensors which can be connected to said base, arranged in a predetermined arrangement. Each image sensor captures the image of a predetermined area of the body. These sensors provide a series of images. A processing unit communicates with said image sensors to:
    (i) collecting the set of images from said image sensors;
    (ii) analyzing said set of images; (iii) construct a record of personal data associated with the skin of said body of said patient.
    International patent application WO 2012110828 describes a method for making a virtual body model of a person, created from a small number of a single photograph, combined with one or more images of clothing. The realistic representation virtual body model used for realistic visualization of clothing, measurements and more provides one of the user's body and is visualizations of photocoiffures, makeup, and / or other accessories.
    Virtual clothing is created from layers based on photographs of real clothing taken from multiple angles. In addition, the virtual body model is used in many embodiments of manual and automatic recommendations for clothing, makeup, and hairstyle, for example from channels, friends, and fashion entities.
    The virtual body model can be shared for example for visualization and comments on the style. In addition, it is also used to allow users to purchase clothing that fits other users, which may be suitable as gifts or the like. The implementation can also be used in peer-to-peer online sales where clothes can be purchased knowing that the seller's body shape and size are similar to that of
    The user.
    Disadvantages of prior art solutions
    The solutions of the prior art are not completely satisfactory.
    Some solutions use a mobile image sensor moving around the subject. If the subject moves during the image acquisition phase, photogrammetry processing is disrupted.
    Other solutions require the affixing of markers or structured zones, which imposes a stage of preparation of the subject and does not make it possible to acquire a photorealistic image.
    Still other solutions provide for the acquisition of images from image sensors, but do not make it possible to obtain a satisfactory quality by a single acquisition in natural light.
    Solution provided by the invention
    In order to remedy these drawbacks, the invention relates, in its most general sense, to a method of creating a virtual three-dimensional representation of a person comprising the steps of:
    a) acquisition of a plurality of images of a person placed in a reference position in an imaging booth
    b) photogrammetric calculation of a gross mesh size of said real person, characterized in that said step of acquiring the plurality of images consists in recording a series of at least one hundred simultaneous images originating from images distributed over the interior surface of an oval-shaped enclosure provided with an access door, cabin sensors, said image sensors being distributed homogeneously relative to the axis of symmetry of said cabin.
    “Image sensor” is understood to mean, within the meaning of this patent, a still image sensor equipped with an optic for taking pictures in natural light.
    Preferably, the photosensitive surface of the image sensors has a size less than 25 × 25 millimeters.
    Preferably, the interior surface of said cabin has non-repetitive contrasting patterns, the method comprising at least one calibration step consisting in acquiring an image session of the cabin without the presence of a person, the photogrammetry step comprising a step of calculating an ID image by subtracting the image acquired in the presence of a person in the cabin and the calibration image corresponding to the same image sensor.
    Advantageously, the photogrammetry step comprises the steps of creating a 3D point cloud by extracting in each of the outlined images IDi of the characteristic points PC i; j and recording the coordinates of each of the characteristic points PC i; j and of construction of the raw mesh from the characteristic points PC i; j thus identified and calculation of the envelope texture.
    According to a variant, the 3D mesh and the texturing are subject to an additional smoothing treatment.
    According to another variant, the method comprises an additional step consisting in merging said raw mesh with a model mesh MM organized in a group of areas of interest corresponding to subsets of polygons corresponding to significant parts, to be determined on the raw mesh corresponding to the singular points identified beforehand on the mesh model MM, and then to apply a processing consisting in deforming the mesh of the model MM to make correspond locally each singular point with the position of the associated singular point on the gross mesh MBI, and recalculate the position of each of the characteristic points of the mesh of the model MM.
    Advantageously, said step of transforming said raw mesh into a standardized mesh comprises the automatic identification of a plurality of characteristic points of the human body on said raw mesh, by processing of recognition of elements recorded in a library of points of interest in the form of a table associating a digital label with a characterization rule.
    The invention also relates to a shooting booth constituted by a closed structure having an access door, comprising a plurality of image sensors oriented towards the interior of the cabinet, characterized in that said booth has an interior shape ovoid having at least one hundred image sensors distributed over the interior surface of said ovoid shape homogeneously with respect to the axis of symmetry of said cabin.
    Preferably the cabin has a maximum median cross section less than 2 m.
    Detailed description of an example of the invention
    The present invention will be better understood on reading the description which follows concerning a nonlimiting exemplary embodiment illustrated by the appended drawings where:
    - Figure 1 shows a schematic view of a photogrammetric acquisition booth Figure 2 shows a schematic view of the hardware architecture of an installation for the implementation of the invention
    System for acquiring the gross mesh size of a person
    The implementation of the present invention comprises a first step of acquiring images of a real person.
    For this purpose, a cabin comprises a group of image capture sensors (20), arranged on an envelope of generally ovoid shape, surrounding the person.
    The height of the cabin is approximately 250 centimeters, and the maximum inside diameter is approximately 200 centimeters.
    The cabin consists of an ovoid wall (1) of circular cross section, opening by a door (2), and extended at its upper part (3) by a hemispherical cap and closed at its lower part by a floor (4 ).
    The cabin thus defines a surface of revolution whose generator has a curved section suitable for surrounding the person whose sequence of images is produced.
    This surface supports the sensors of images of making view (20) distributed so regular, to form overlapping fields of making view. The sensors pictures (20) are fixed by report to support and at the nobody.In the example described, the cabin has 260 sensors pictures (20), distributed according to one ten strata
    transverse (6 to 16). The spacing between two strata varies, the spacing between two consecutive strata being greater for the middle strata (11 to 13) than for the
    10) or lower (13 to 16). High definition sensors (8 MB).
    upper strata (6 to are image sensors
    The number of greater than 100, interior of sensors distributed the image booth (20) is preferably corresponding to the door and in a homogeneous manner on the surface with the exception of the floors.
    The layers (10 to 16) of level images of the door (2).
    twenty sensors angularly, except when cut by the door (2) distributed in a way that has uniform surfaces
    The strata (8 and sensor images the absence of more reduced images
    The aligned varying areas of important reason for
    9) have a plus number (20), for example 24, at the door. The strata (6 and 7) having a radius include a more limited number of sensors (20).
    image sensors (20) are not necessarily over the same longitudes, an angular distribution from one stratum to another making it possible to increase the overlap of the sockets of is connected to a circuit
    Each local electronic image sensor (20) comprising a computer executing a program controlling:
    means of communication and the activation and deactivation of the image sensor which is optionally associated with it, the recording in a local memory of the acquired images and the image of the image sensor buffering associated with the images such as the balance of colors, optical parameters of the sensor such as aperture, sensitivity, whites, resolution, balance, shooting time, etc. This control is carried out according to data from a server common to all the sensors images (20), as well as local data captured by the associated image sensor activation of a visual or audible alert associated with the local image sensor transmission of real-time images or locally recorded images to a remote server.
    The cabin includes a dedicated server, comprising means of communication with the local cards of each of the image sensors, performing router and piloting functions of the image sensors (20) according to the data coming from a remote server. .
    The cabin also includes light sources distributed over the interior surface of the cabin to form omnidirectional and homogeneous lighting.
    The light sources are constituted in the example described by eight strips of LEDS (21, 22) arranged along longitudes of the cabin, angularly distributed evenly, except at the door (2).
    The light sources are optionally controlled by the dedicated server.
    Optionally, the interior surface of the cabin has a uniform background with angular non-repetitive angular geometric patterns, making it possible to locate the image sensor by analyzing the background of the image.
    Optionally, the cabin includes an additional image sensor with a large field, making it possible to view the person from the front, for the transmission to an external operator of an image of the position of the person during the image acquisition sequence.
    The cabin also includes acoustic speakers (41, 42) distributed angularly around the head, to broadcast voice instructions.
    Electronic architecture
    Figure 2 shows a more detailed view of the electronic architecture.
    The installation comprises a central computer (30), communicating the dedicated server (31) of the cabin. The dedicated server (31) communicates locally, in the cabin, with the local electronic circuits (32 to 35). Each of the local electronic circuits (32 to 35) comprises an image sensor (20) whose resolution is of the order of 5 megapixels and having a nominal aperture of 2.8, with a fixed focal length and a field of view of 42 °.
    The installation also comprises, at cabin level, network switches preventing network collisions.
    Functional architecture
    The following description relates to an exemplary implementation of the invention, presenting the main steps:
    acquisition of the image of a person in the cabin and transfer to the computer ensuring the main photogrammetry processing first alternative of smoothing for the realization of a photorealistic volume second alternative of recalculation of the topology creation of the avatar.
    Periodically, we calibrate the bare cabin, without anyone, consisting in acquiring a sequence of images of the structured area of the cabin
    This calibration allows the real positioning of each of the image sensors (20) to be recalculated by
    Analysis of the non-repeating patterns appearing on the interior surface of the cabin, and recording for each of the image sensors of the background zone, with a view to further processing consisting in subtracting from the image acquired in the presence of a person, the image of the same area without a person
    Acquisition of a person's image When the nobody is positioned in the cabin, we ordered the succession of following treatments. A alert visual or sound indicates to the nobody the start-up of the sequence shooting, prompting the person
    remain stationary until the end of sequence alert.
    Typically, the duration of the shooting sequence is less than one second.
    Optionally, an infrared depth sensor, for example a 3D depth image sensor, controls the position of the person in the cabin, and automatically triggers the image acquisition sequence when the person is well positioned, and failing that triggers voice commands to alert the person to positioning errors, such as "raise your arm slightly" or "straighten your head" or "turn to the right" until the sensor detects that the person's position is correct at a nominal position.
    The dedicated server (31) controls the lighting in the cabin, by lowering the light level during the person positioning phase, then increasing the light level during the image acquisition phase, and then lowering the level again bright at the end of the image acquisition phase. The dedicated server (31) can synchronously control the sound effects associated with each of these phases, to help the person to remain motionless during the image phase and to follow the evolution of the process.
    The dedicated server (31) commands, for the image acquisition phase, the simultaneous activation of all the image sensors (20) by the transmission to the local electronic circuits (32 to 35) of an activation command. , then orders the transfer of the data recorded locally to the dedicated server (31) or to a remote computer. This transfer can be simultaneous or deferred to optimize the available bandwidth.
    Photogrammetry
    The photogrammetry step is applied to all of the digital images coming from the image sensors (20), for example 260 digital images acquired at the same time from the person positioned in the cabin.
    The processing comprises a first step of preprocessing each of the images I ± (i being between 1 and 260 in the example described):
    - Creation of a cropped image IDi by subtracting the acquired image I ± and the background image ΙΡ ± of the same area recorded during the recording phase of the pair of images (Ι ± , IDJ
    - Calculation of coordinates (X if
    Χ, Υ, Ζ corresponding to the coordinates in the cabin reference system, calibration, and
    Yi Z ± ;
    from the
    ABC
    B ± C lr DJ or image sensor corresponding to Euler's cabin) and D la
    Sensor orientation is an angular orientation (image angles in the image sensor parameter reference frame on the axis for each of the I ± images of the image pairs (Ι ± , calculated. This calculation is due to the angles ABC, for each thus corresponding predefined binary and recording,
    IDJ of the coordinates for example executed with the (trade name) or VisualSFM IGN MicMac software (trade name)
    - Creation of a 3D point cloud by extraction in each of the outlined images IDi of the characteristic points
    PC i; j and recording of the coordinates of each of the characteristic points PC i; j
    - Construction of the raw mesh from the characteristic points PC i; j thus identified and calculation of the envelope texture.
    The result of this step consists of a 3D mesh and an associated texture.
    The 3D MBI mesh corresponding to the raw mesh of the original person is saved in a usual format, for example OBJ, which is an exchange file format containing the description of a 3D geometry.
    The texture is saved in a PNG image format.
    First smoothing alternative for producing a photorealistic volume
    For a first application, the 3D mesh and the texturing thus calculated are subject to an additional smoothing treatment.
    This processing consists in suppressing the noise in the non-smoothed 3D mesh, having a level of zero mesh by proceeding to a reduction of the resolution by a local average calculation applied to each of the characteristic points PC i; j and by assigning an orientation of the normal to each of these characteristic points PC i; j , to record a smoothed mesh in the form of a combination of PCL lni and normals N nm .
    This processing is carried out using a 3D mesh modification software such as AUTOCAD (trade name).
    The result of this processing is a photorealistic 3D volume corresponding to the person whose image was acquired during the acquisition phase.
    The enveloping texture has a resolution adapted to the intended use (for example 3D printing).
    The result of the processing is saved in a transfer format, for example the OBJ format.
    Second alternative; Recalculation of the topology
    Creation of the avatar.
    Another application consists in creating, from the 3D mesh obtained during the photogrammetry step, a 3D avatar.
    To this end, a model mesh MM is used, saved in OBJ format, organized into a group of areas of interest corresponding to subsets of polygons corresponding to significant parts, for example from the group of polygons corresponding to the mouth, to a finger, breast, arm ... Each signifying subgroup is associated with an identifier, and possibly with markers corresponding to specific processing when creating an avatar (for example, "dressing" processing ). The same polygon can belong to several subgroups.
    The model mesh MM can optionally be the object of a processing consisting in calculating a deformed model MMD, preserving the same subsets of polygons and the same identifiers, but with local deformations of certain polygons, to create, for example, the muscular man's MMD model from a standard man's MMD model.
    To create an avatar corresponding to the MM model chosen from the raw MBI mesh, we carry out a retopology calculation.
    This computation requires the identification of the characteristic points of the gross mesh MBI which will be put in correspondence with corresponding characteristic points of the model mesh MM.
    To this end, singular points identified beforehand on the model mesh MM are determined on the raw mesh, for example the corner of the eye, the corner of the mouth, the tips of the fingers, etc.
    One then applies a processing consisting in deforming the mesh of the model MM to make correspond locally each singular point with the position of the associated singular point on the gross mesh MBI, and recalculate the position of each of the characteristic points of the mesh of the model MM, by a 3D morphing software.
    The result of this processing is an MMI mesh saved in OBJ format, corresponding to the adaptation of the model to the morphology of the original person.
    We use this MMI mesh to create a complete animation skeleton.
    This skeleton is created from the MMI mesh and control points, on the mesh, corresponding to the articulations of the digital skeleton and association of these control points with the articulation points of the skeleton.
    Next, the additional elements (teeth, tongue, eye socket, etc.) from a library of elements are positioned on the avatar thus created, taking into account the aforementioned subgroups.
    We then apply a skinning process consisting in associating each characteristic point with a portion of the skin of the object to be animated, however a given portion of the skin can be associated with several bones, according to a precise weighting and we record this information in a digital file.
    Applications
    The invention makes it possible to make three-dimensional photorealistic representations for various applications such as fitness, to draw his ideal body more muscular and / or thinner, from MM reference models, fused with the gross mesh MBI of a natural person. real. This representation can be shown to a coach to follow a personalized training program in order to resemble his avatar in the near future.
    The periodic acquisition of photorealistic representations makes it possible to verify the progress made and the effort necessary to reach the objective.
    The user can thus set a visible and measurable objective to “sculpt” his body.
    The applications also relate to the field of cosmetic surgery to visualize the postoperative result and use it as a consultation support in front of a surgeon.
    It makes it possible to make a decision in front of the practitioner by having a result beforehand.
    Another application concerns the field of ready-to-wear (online fitting before purchase), by offering the possibility of dressing your avatar with a creator's collection and seeing yourself scrolling, virtually trying on clothes before purchasing, and zoom in to observe all the details of the clothes worn (sizes, touch-ups required, colors, etc.).
    权利要求:
    Claims (10)
    [1" id="c-fr-0001]
    Claims creation a person representation step comprising placed acquisition of imagery person photogrammetry of a plurality a position of images reference a person a mesh characterized in that acquisition plurality of images consists in recording a series minus one hundred simultaneous images from image sensors distributed over the interior surface of a closed, ovoid cabin equipped with an access door, said image sensors being distributed homogeneously with respect to the axis of symmetry of said cabin.
    [2" id="c-fr-0002]
    2 - A method of creating a virtual three-dimensional representation according to claim 1 characterized in that the photosensitive surface of the image sensors has a size less than 25x25 millimeters.
    [3" id="c-fr-0003]
    3 - A method of creating a virtual three-dimensional representation according to claim 1 characterized in that the interior surface of said cabin has non-repetitive contrasting patterns, the method comprising at least one calibration step consisting in acquiring an image session of the cabin without the presence of a person, the photogrammetry step comprising a step of calculating an ID image by subtracting the image acquired in the presence of a person in the cabin and the calibration image corresponding to the same image sensor.
    [4" id="c-fr-0004]
    4 - Method for creating a virtual three-dimensional representation according to claim 1 characterized in that the photogrammetry step comprises the steps of creating a 3D point cloud by extraction from each of the outlined images IDi of the characteristic points PC i: j and recording of the coordinates of each of the characteristic points PC i: j and of construction of the raw mesh from the characteristic points Ρ0 13 thus identified and calculation of the envelope texture.
    [5" id="c-fr-0005]
    5 - Process for creating a virtual three-dimensional representation of a person according to claim 1 characterized in that the 3D mesh and the texturing are subject to an additional smoothing treatment.
    [6" id="c-fr-0006]
    6 - A method of creating a virtual three-dimensional representation of a person according to claim 1 characterized in that it comprises an additional step consisting in merging said raw mesh with a model mesh MM organized in groups of areas of interest corresponding to subsets of polygons corresponding to significant parts, to be determined on the raw mesh corresponding to the singular points identified beforehand on the mesh model MM, and then to apply a treatment consisting in deforming the mesh of the model MM to make each point correspond locally singular with the position of the associated singular point on the raw MBI mesh, and recalculate the position of each of the characteristic points of the mesh of the MM model.
    [7" id="c-fr-0007]
    7 - A method of creating a virtual three-dimensional representation of a person according to claim 1 characterized in that it comprises a step of transforming said raw mesh into a standardized mesh comprising the automatic identification of a plurality of characteristic points of the human body on said raw mesh, by processing of recognition of elements recorded in a library of points of interest in the form of a table associating a digital label with a characterization rule.
    [8" id="c-fr-0008]
    8 - Shooting cabin constituted by a closed structure having an access door, comprising a plurality of image sensors oriented towards the interior of the cabin, characterized in that said cabin has an interior ovoid shape having at least one hundred image sensors distributed over the interior surface of said ovoid shape in a homogeneous manner with respect to the axis of symmetry of said cabin.
    [9" id="c-fr-0009]
    9 - Shooting cabin according to the preceding claim characterized in that the image sensors are provided with sensors of size less than 25x25 millimeters.
    [10" id="c-fr-0010]
    10 - Shooting cabin according to the preceding claim characterized in that it has a maximum median cross section less than 2 m.
    1/2
    类似技术:
    公开号 | 公开日 | 专利标题
    US10684467B2|2020-06-16|Image processing for head mounted display devices
    FR3061979A1|2018-07-20|METHOD FOR CREATING A VIRTUAL THREE-DIMENSIONAL REPRESENTATION OF A PERSON
    JP4932951B2|2012-05-16|Facial image processing method and system
    EP2450852A1|2012-05-09|Method and device for virtual simulation of an image
    WO2009097618A1|2009-08-06|Practical modeling and acquisition layered facial reflectance
    WO2018221092A1|2018-12-06|Image processing device, image processing system, image processing method, and program
    US20190080510A1|2019-03-14|Creating a synthetic model with organic veracity
    US20210012550A1|2021-01-14|Additional Developments to the Automatic Rig Creation Process
    JP5419777B2|2014-02-19|Face image synthesizer
    FR3057981B1|2019-07-26|METHOD FOR PRODUCING A 3D POINT CLOUD REPRESENTATIVE OF A 3D EAR OF AN INDIVIDUAL, AND ASSOCIATED SYSTEM
    FR3085521A1|2020-03-06|IMPROVED PROCESS FOR CREATING A THREE-DIMENSIONAL VIRTUAL REPRESENTATION OF THE BUST OF A PERSON
    CA3077228A1|2019-04-11|Radiographic imaging method, radiographic image processing device, and radiographic imaging device
    FR2920938A1|2009-03-13|Image simulating method for beauty industry, involves deforming parametric models to adapt to contours of features on face, and detecting and analyzing cutaneous structure of areas of face by maximizing gradient flow of brightness
    JP2011113421A|2011-06-09|Three-dimensional modeling system
    Pęszor et al.2015|Preprocessing of 3D scanned images for facial animation on the basis of realistic acquisition
    Ruiz et al.2021|Comparative Analysis Between the Main 3D Scanning Techniques: Photogrammetry, Terrestrial Laser Scanner, and Structured Light Scanner in Religious Imagery: The Case of The Holy Christ of the Blood
    JP2021068271A|2021-04-30|Image processing system, image processing method and program
    KR20220017830A|2022-02-14|Method and apparatus for obtaining three dimensional data and computer readable medium storing a program for performing the same method
    JP2021068272A|2021-04-30|Image processing system, image processing method and program
    FR3102285A1|2021-04-23|PROCESS FOR GENERATING A DENTAL IMAGE
    Huang et al.2019|A Process for the Semi-Automated Generation of Life-Sized, Interactive 3D Character Models for Holographic Projection
    GB2593702A|2021-10-06|Method and system for eyewear fitting
    JP4971409B2|2012-07-11|Analysis method, analysis apparatus and analysis system for skin groove structure
    FR3066304A1|2018-11-16|METHOD OF COMPOSING AN IMAGE OF AN IMMERSION USER IN A VIRTUAL SCENE, DEVICE, TERMINAL EQUIPMENT, VIRTUAL REALITY SYSTEM AND COMPUTER PROGRAM
    同族专利:
    公开号 | 公开日
    WO2018134521A1|2018-07-26|
    CN110291560A|2019-09-27|
    JP2020505712A|2020-02-20|
    US20190371059A1|2019-12-05|
    RU2019124087A3|2021-05-21|
    FR3061979B1|2020-07-31|
    EP3571666A1|2019-11-27|
    KR20190109455A|2019-09-25|
    RU2019124087A|2021-02-19|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    GB2535742A|2015-02-25|2016-08-31|Score Group Plc|A three dimensional scanning apparatus and method|FR3085521A1|2018-09-04|2020-03-06|Exsens|IMPROVED PROCESS FOR CREATING A THREE-DIMENSIONAL VIRTUAL REPRESENTATION OF THE BUST OF A PERSON|DE10049926A1|2000-10-07|2002-04-11|Robert Massen|Camera for photogrammetric detection of shape of limb has projector attachment for providing visually detectable alignment structures|
    US20120206587A1|2009-12-04|2012-08-16|Orscan Technologies Ltd|System and method for scanning a human body|
    GB201102794D0|2011-02-17|2011-03-30|Metail Ltd|Online retail system|US10824055B1|2018-09-24|2020-11-03|Amazon Technologies, Inc.|Modular imaging system|
    US10957118B2|2019-03-18|2021-03-23|International Business Machines Corporation|Terahertz sensors and photogrammetry applications|
    CN110991319B|2019-11-29|2021-10-19|广州市百果园信息技术有限公司|Hand key point detection method, gesture recognition method and related device|
    法律状态:
    2018-01-18| PLFP| Fee payment|Year of fee payment: 2 |
    2018-07-20| PLSC| Search report ready|Effective date: 20180720 |
    2019-01-30| PLFP| Fee payment|Year of fee payment: 3 |
    2019-09-20| CA| Change of address|Effective date: 20190813 |
    2019-09-20| CD| Change of name or company name|Owner name: MY EGGO, FR Effective date: 20190813 |
    2020-07-27| PLFP| Fee payment|Year of fee payment: 4 |
    2021-01-25| PLFP| Fee payment|Year of fee payment: 5 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1750342|2017-01-17|
    FR1750342A|FR3061979B1|2017-01-17|2017-01-17|PROCESS FOR CREATING A VIRTUAL THREE-DIMENSIONAL REPRESENTATION OF A PERSON|FR1750342A| FR3061979B1|2017-01-17|2017-01-17|PROCESS FOR CREATING A VIRTUAL THREE-DIMENSIONAL REPRESENTATION OF A PERSON|
    RU2019124087A| RU2019124087A3|2017-01-17|2018-01-17|
    PCT/FR2018/050114| WO2018134521A1|2017-01-17|2018-01-17|Method for creating a three-dimensional virtual representation of a person|
    KR1020197023977A| KR20190109455A|2017-01-17|2018-01-17|Method for generating three-dimensional virtual representation of a person|
    CN201880007062.1A| CN110291560A|2017-01-17|2018-01-17|The method that three-dimensional for founder indicates|
    EP18702767.7A| EP3571666A1|2017-01-17|2018-01-17|Method for creating a three-dimensional virtual representation of a person|
    JP2019559405A| JP2020505712A|2017-01-17|2018-01-17|How to create a 3D virtual representation of a person|
    US16/478,451| US20190371059A1|2017-01-17|2018-01-17|Method for creating a three-dimensional virtual representation of a person|
    [返回顶部]