WO2018176958A1 - Procédé et système de cartographie adaptative en fonction du mouvement de points clés dans une image - Google Patents

Procédé et système de cartographie adaptative en fonction du mouvement de points clés dans une image Download PDF

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Publication number
WO2018176958A1
WO2018176958A1 PCT/CN2017/120135 CN2017120135W WO2018176958A1 WO 2018176958 A1 WO2018176958 A1 WO 2018176958A1 CN 2017120135 W CN2017120135 W CN 2017120135W WO 2018176958 A1 WO2018176958 A1 WO 2018176958A1
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coordinates
point
key
image
texture
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PCT/CN2017/120135
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English (en)
Chinese (zh)
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李亮
陈少杰
张文明
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武汉斗鱼网络科技有限公司
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Publication of WO2018176958A1 publication Critical patent/WO2018176958A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/60—Editing figures and text; Combining figures or text
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/20—Linear translation of whole images or parts thereof, e.g. panning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/60—Rotation of whole images or parts thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/24—Indexing scheme for image data processing or generation, in general involving graphical user interfaces [GUIs]

Definitions

  • the present invention relates to the field of image processing and, more particularly, to an adaptive mapping method and system that moves with key points in an image.
  • mapping on video images is becoming more and more common.
  • texture is the effect of adding dynamic texture to specific parts of the image.
  • a human face can be referred to as an eye. , nose or mouth
  • the existing mapping method only places the texture at a specific position in the picture.
  • the specific position changes, although the position of the texture changes, the display scale changes without considering the specific position.
  • the shape of the texture will be distorted to a certain extent, which will greatly reduce the display effect of the texture.
  • the present invention provides a method and system for adaptive mapping of key points moving in an image that overcomes the above problems or at least partially solves the above problems.
  • a method of adaptive mapping that moves with key points in an image comprising:
  • an adaptive mapping system that moves with key points in an image, including:
  • the nearby coordinate generating device obtains a certain range of coordinates near the position after the key point is moved according to the coordinate of the key point movement and the scaling factor of the texture;
  • the texture sampling coordinate obtaining means obtains the texture sampling coordinates according to the coordinates of a certain range, the coordinates of the key points, and the scaling factor of the texture in the vicinity of the position after the key point is moved, and displays the texture on the texture sampling coordinates.
  • an adaptive mapping apparatus comprising:
  • At least one processor at least one memory, and a bus;
  • the processor and the memory complete communication with each other through the bus;
  • the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the following methods:
  • a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions when the program instructions are When the computer executes, it can perform the following methods:
  • a non-transitory computer readable storage medium storing computer instructions that cause the computer to perform the following method:
  • the present application proposes an adaptive mapping method and system for moving key points in an image, by locating the position of a key point on a key object in the image, and rotating any point on the image according to the position change after the key point is moved.
  • Matrix transformation obtain the coordinates of the rotation matrix corresponding to the point, ensure that the points on the image move synchronously with the position of the key point, and then move the key point according to the coordinate of the key point and the scaling factor of the texture.
  • a certain range of coordinates near the position, and finally the coordinate of the key point and the scaling factor of the texture are obtained to obtain the texture sampling coordinates of the display texture.
  • the present invention enables the texture to be adaptively moved in the case where the key point on the image is moved, and The user's experience is improved without changing the original display ratio.
  • FIG. 1 is a flow chart of an adaptive mapping method for moving key points in an image according to an embodiment of the present invention
  • step S1 is a flowchart of step S1 in the embodiment of the present invention.
  • step S2 in the embodiment of the present invention.
  • FIG. 4 is a block diagram of an adaptive mapping system that moves with key points in an image according to an embodiment of the present invention
  • FIG. 5 is a structural block diagram of a conversion module according to an embodiment of the present invention.
  • FIG. 6 is a functional block diagram of an adaptive mapping device in an embodiment of the present invention.
  • the present invention provides a mapping method of adaptive rotation that can be rotated with the human face.
  • FIG. 1 is a flowchart of an adaptive mapping method for face rotation according to an embodiment of the present invention. As shown in FIG. 1, the method includes:
  • the present application proposes an adaptive mapping method and system for moving key points in an image, by locating the position of a key point on a key object in the image, and rotating any point on the image according to the position change after the key point is moved.
  • Matrix transformation get the converted coordinates corresponding to the point, and then according to the coordinate of the key point and the scaling factor of the texture, filter the coordinates of a certain range around the position after the key point is moved, and finally combine the coordinates of the key point and the texture of the map.
  • the scaling factor obtains the texture sampling coordinates of the display texture.
  • the present invention enables the texture to be adaptively moved in the case of moving key points on the image without changing the original display ratio, thereby improving the user experience.
  • FIG. 2 is a flowchart of step S1 in the embodiment of the present invention, including:
  • the embodiment of the present invention refers to the coordinates of the image as the world coordinate system, and the coordinate system in which the movable key object in the image is located is referred to as the object coordinate system.
  • the texture is located in the coordinate system of the image, the texture is mapped. It always follows the motion of the object, which is equivalent to the coordinate system of the object. Therefore, in order to ensure the rotation of the texture to adapt to the transformation between the two coordinate systems, the aspect ratio of the image, the distance moved by the key point, and the rotation angle of the key object are required. , Perform a rotation matrix transformation on any point on the image.
  • step S1.3 further includes:
  • the rotation center point is a key point, so-called The key point, to put it simply, is that the texture needs to be aligned at all times, for example, for mapping on the human eye, the key point can be the center point of the region of the human eye (assuming this is the coordinates of the pupil).
  • the rotation center point in the embodiment refers to a key point after the face is moved in the image, and also in the above example, the coordinates of the pupil after the face is moved.
  • the present invention is not limited to the mapping of the human eye, and the present invention is equally applicable to the mapping of other parts of the face, such as the nose, mouth or eyebrows, and will not be described herein.
  • the rotation angle of the face can be calculated from the position of the key points on the human face. For example, the angle between the bridge of the nose and the X-axis in the horizontal direction is calculated, and the calculation formula is not given in detail here. Therefore, in order to ensure that the rotated coordinates coincide with the rotation angle of the face and the shape does not change, the embodiment rotates the coordinates after the first translation according to the rotation angle of the face and the coordinates of the rotation center point. obtain.
  • step S1.3 further includes:
  • the coordinates (x, y) of the point are converted into homogeneous coordinates (x, y, 1), and the homogeneous coordinates are scaled based on the aspect ratio R of the image. Get the scaled coordinates (R*x, y, 1).
  • the homogeneous coordinate is to represent a vector that is originally n-dimensional with an n+1-dimensional vector.
  • the homogeneous coordinates of the two-dimensional point (x, y) are expressed as (hx, hy, h).
  • the homogeneous representation of a vector is not unique, and the different values of the h of the homogeneous coordinates represent the same point, such as homogeneous coordinates (8, 4, 2), (4, 2 , 1) represents two-dimensional points (4, 2).
  • the scaled coordinates are represented by matrix M 1 as:
  • the coordinates of the original rotation center point are the origin coordinates (0, 0), and the coordinates after the translation are assumed to be (D x , D y ), and the sx units are translated in the x-axis direction.
  • the first coordinates of the shifted matrix M 2 is expressed as:
  • the rotated coordinates are represented by a matrix M 3 as:
  • FIG. 3 is a schematic flowchart of step S2 in the embodiment of the present invention. As shown in FIG. 3, step S2 includes:
  • the coordinates after the transformation of the rotation matrix are defined as (dst x , dst y ), and the coordinates of the key points are (center x , center y ), when the coordinates after the rotation
  • the following conditions are satisfied: (center x -resize x *0.5) ⁇ dst x ⁇ (center x +resize x *0.5) and (center y -resize y *0.5) ⁇ dst y ⁇ (center y +resize y *0.5)
  • the coordinate converted by the rotation matrix is used as a coordinate of a certain range near the position after the key point is moved.
  • l represents the length of the longitudinal length of the key object, such as the length of the face
  • w represents the width of the texture
  • h represents the height of the texture
  • r represents the display coefficient
  • W represents the width of the image
  • H represents the height of the image.
  • the step of obtaining texture sampling coordinates according to the coordinate of a certain range, the coordinates of the key points, and the scaling factor of the map located near the position after the movement of the key point further includes:
  • the key point coordinates are (center x , center y )
  • the scaling factor of the texture on the x-axis is resize x
  • the texture is scaled on the y-axis.
  • the coefficient resize y and the texture sampling coordinates are (coord x , coord y ), then:
  • Coord x (near x -center x +resize x *0.5)/resize x ;
  • Coord y (near y -center y +resize y *0.5)/resize y .
  • FIG. 4 is a block diagram of an adaptive mapping system that moves with key points in an image according to an embodiment of the present invention, including:
  • the nearby coordinate generating device obtains a certain range of coordinates near the position after the key point is moved according to the coordinate of the key point movement and the scaling factor of the texture;
  • the texture sampling coordinate obtaining means obtains the texture sampling coordinates according to the coordinates of a certain range, the coordinates of the key points, and the scaling factor of the texture in the vicinity of the position after the key point is moved, and displays the texture on the texture sampling coordinates.
  • a rotation matrix transformation is performed on any point on the image to obtain a rotation matrix conversion corresponding to the point.
  • the coordinates after the image ensure that the points on the image move synchronously with the position of the key point, and then according to the coordinates of the key point and the scaling factor of the texture, the coordinates of a certain range near the position after the key point is moved are filtered, and finally combined.
  • the coordinate of the key point and the scaling factor of the texture obtain the texture sampling coordinates of the display texture.
  • the present invention enables the texture to be adaptively moved when the key points on the image are moved, and the original display ratio is not changed, thereby improving the user. Experience.
  • the conversion coordinate device comprises:
  • a positioning module for acquiring an aspect ratio of an image and locating a position of a key point on a key object in the image
  • the conversion module is configured to perform rotation matrix conversion on any point on the image according to the aspect ratio of the image, the distance moved by the key point, and the rotation angle of the key object, to obtain the converted coordinates corresponding to any point.
  • the coordinates of the image are called the world coordinate system, and the coordinate system of the movable key object in the image is called the object coordinate system.
  • the texture is located in the coordinate system of the image, the texture always follows the object. Movement, which is equivalent to the coordinate system of the object, so in order to ensure the rotation of the texture to adapt to the conversion between the two coordinate systems, the image should be based on the aspect ratio of the image, the distance moved by the key point, and the rotation angle of the key object. Rotate the matrix transformation at any point.
  • FIG. 5 is a structural block diagram of a conversion module in an embodiment of the present invention, including:
  • the first scaling unit is configured to scale the coordinates of the point according to the aspect ratio of the image to any point on the image to obtain the scaled coordinates.
  • the first translation unit is configured to translate the coordinates of the rotation center point from the origin coordinates to the coordinates of the key point, and translate the scaled coordinates according to the moving distance of the key points to obtain the coordinates after the first translation.
  • the rotation center point is a key point, so-called The key point, to put it simply, is that the texture needs to be aligned at all times, for example, for mapping on the human eye, the key point can be the center point of the region of the human eye (assuming this is the coordinates of the pupil).
  • the rotation center point in the embodiment refers to a key point after the face is moved in the image, and also in the above example, the coordinates of the pupil after the face is moved.
  • the present invention is not limited to the mapping of the human eye, and the present invention is equally applicable to the mapping of other parts of the face, such as the nose, mouth or eyebrows, and will not be described herein.
  • the rotation unit is configured to rotate the coordinates after the first translation according to the rotation angle of the key object and the coordinates of the rotation center point, and obtain the rotated coordinates.
  • the rotation angle of the face can be calculated from the position of the key points on the human face. For example, the angle between the bridge of the nose and the X-axis in the horizontal direction is calculated, and the calculation formula is not given in detail here. Therefore, in order to ensure that the rotated coordinates coincide with the rotation angle of the face and the shape does not change, the embodiment rotates the coordinates after the first translation according to the rotation angle of the face and the coordinates of the rotation center point. obtain.
  • a second translation unit configured to translate coordinates of the rotation center point from coordinates of the key point back to the origin coordinates, and translate the scaled coordinates according to the moving distance of the rotation center point to obtain coordinates after the second translation;
  • a second scaling unit configured to scale the coordinates after the second translation back to the original scale to obtain the converted coordinates.
  • the nearby coordinate generation device comprises:
  • a scaling factor acquisition module for obtaining a scaling factor of the texture on the x-axis based on the longitudinal length of the key object, the width of the texture, and the width of the image, and obtaining the texture on the y-axis based on the longitudinal length of the key object, the height of the texture, and the height of the image.
  • the attachment coordinate acquisition module is configured to define (dstx, dsty) the coordinate after the rotation for any one of the rotated coordinates, and the coordinates of the key point are (centerx, centery), and the coordinates after the rotation satisfy the following conditions: Centerx-resizex*0.5) ⁇ dstx ⁇ (centerx+resizex*0.5) and (centery–resizey*0.5) ⁇ dsty ⁇ (centery+resizey*0.5), the rotated coordinates are taken as the position after the key point is moved A certain range of coordinates nearby.
  • the texture sampling coordinate obtaining device is further configured to:
  • Coord x (near x -center x +resize x *0.5)/resize x ;
  • Coord y (near y -center y +resize y *0.5)/resize y .
  • the present invention discloses an adaptive mapping device, as shown in FIG. 6, comprising:
  • the processor 601 and the memory 602 complete communication with each other through the bus 603; the memory 602 stores program instructions executable by the processor 601, and the processor 602 invokes the program instructions to execute the above
  • the methods provided by the method embodiments include, for example:
  • the present invention discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions when the program instructions are When the computer is executed, the computer can perform the methods provided by the foregoing method embodiments, including, for example:
  • the present invention discloses a non-transitory computer readable storage medium storing computer instructions that cause the computer to perform the various method embodiments described above
  • the methods provided include, for example:
  • the foregoing program may be stored in a computer readable storage medium, and the program is executed when executed.
  • the foregoing steps include the steps of the foregoing method embodiments; and the foregoing storage medium includes: a medium that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Processing Or Creating Images (AREA)
  • Image Generation (AREA)

Abstract

La présente invention concerne un procédé et un système de cartographie adaptative en fonction du mouvement de points clés dans une image. Le procédé comprend : positionnement des emplacements de points clés sur un objet clé dans l'image, et réalisation d'une transformation de matrice de rotation sur un point quelconque sur l'image en fonction du changement d'emplacement du point clé déplacé afin d'obtenir les coordonnées du point correspondant après la réalisation de la transformation de matrice de rotation ; obtention des coordonnées dans une certaine plage au voisinage de l'emplacement du point clé déplacé en fonction des coordonnées du point clé déplacé et du coefficient d'échelle d'une carte ; et obtention de coordonnées d'échantillonnage de carte en fonction des coordonnées dans la certaine plage au voisinage de l'emplacement du point clé déplacé, des coordonnées du point clé et du coefficient d'échelle de la carte, puis affichage de la carte sur les coordonnées d'échantillonnage de carte. La présente invention permet d'effectuer une rotation adaptative de la carte dans le cas où un visage humain effectue une rotation, et une échelle d'affichage d'origine ne sera pas modifiée et l'expérience d'utilisateur peut être améliorée.
PCT/CN2017/120135 2017-03-28 2017-12-29 Procédé et système de cartographie adaptative en fonction du mouvement de points clés dans une image WO2018176958A1 (fr)

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CN104898832A (zh) * 2015-05-13 2015-09-09 深圳彼爱其视觉科技有限公司 一种基于智能终端的3d实时眼镜试戴方法
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CN111652918A (zh) * 2020-06-04 2020-09-11 深圳地平线机器人科技有限公司 确定3d脸部模型的方法、装置、介质以及电子设备
CN111652918B (zh) * 2020-06-04 2023-08-18 深圳地平线机器人科技有限公司 确定3d脸部模型的方法、装置、介质以及电子设备
CN114119684A (zh) * 2020-08-31 2022-03-01 中国移动通信集团浙江有限公司 基于四面体结构的标记点配准方法
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