WO2019037217A1 - 摄像头模组和社交系统 - Google Patents

摄像头模组和社交系统 Download PDF

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WO2019037217A1
WO2019037217A1 PCT/CN2017/106559 CN2017106559W WO2019037217A1 WO 2019037217 A1 WO2019037217 A1 WO 2019037217A1 CN 2017106559 W CN2017106559 W CN 2017106559W WO 2019037217 A1 WO2019037217 A1 WO 2019037217A1
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camera
module
camera module
index number
host
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French (fr)
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张茜
姚艳红
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Goertek Techology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/14—Systems for two-way working
    • H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/14—Systems for two-way working
    • H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
    • H04N7/142—Constructional details of the terminal equipment, e.g. arrangements of the camera and the display

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  • the present invention relates to the field of image processing, and more particularly to a camera module and a social system.
  • the user socializes the video through the social software.
  • a video chat with a stranger the real image of the user collected by the camera is transmitted to the other party of the chat.
  • you don't video exchange the chat process is too singular.
  • a camera module including a camera module, an image recognition module, and a communication module; the camera module is configured to transmit the collected image information to an image recognition module; the image recognition module a retrieval form for storing index numbers corresponding to body movements and/or facial expressions, identifying body movements and/or facial expressions of persons in the image information, and identifying recognized body movements and/or facial expressions in a retrieval form Searching for a corresponding index number; the communication module is configured to send the corresponding index number to a host that cooperates with the camera module.
  • the camera module comprises a measurable depth camera and/or a camera for acquiring two-dimensional coordinate information.
  • the camera module includes a measurable depth camera
  • the image information includes image information including depth information.
  • the number of the measurable depth cameras is M, and M is an integer greater than or equal to 2; the image recognition module is further configured to splicing the plurality of image information acquired by the M measurable depth cameras into one image. Information for identification.
  • the camera module includes a camera for acquiring two-dimensional coordinate information; the number of cameras for acquiring two-dimensional coordinate information is N, N is an integer greater than or equal to 2; the image recognition module is further used And acquiring the acquired pieces of image information for acquiring the two-dimensional coordinate information into one piece of image information for identification.
  • the camera module further includes a camera for acquiring two-dimensional coordinate information, and further includes a switch module, wherein the switch module is configured to allow the user to set the camera module to output the index number or output the two-dimensional Coordinate information.
  • a social system includes the foregoing camera module and a host; the host stores a virtual character model corresponding to the index number; and is configured to acquire the index number from the camera module Sending the index number to the host of the social user; and displaying the virtual character corresponding to the index number on the host according to the index number obtained from the host of the social user.
  • the inventors of the present invention have found that in the prior art, there is no technical solution for integrating an image processing module, a communication module, and a camera module into one unit and outputting an index number to the outside. Therefore, the technical task to be achieved by the present invention or the technical problem to be solved is not thought of or expected by those skilled in the art, so the present invention is a new technical solution.
  • FIG. 1 is a block diagram of a camera module according to an embodiment of the present invention.
  • FIG. 2 is a block diagram of a camera module provided by another embodiment of the present invention.
  • the camera module 1 Referring to the camera module shown in FIG. 1 , the camera module 1 , the image recognition module 2 and the communication module 3 are included.
  • the camera module 1 is used to transmit the acquired image information to the image recognition module 2.
  • the camera module 1 may include a measurable depth camera or a camera (eg, a CMOS camera) for acquiring two-dimensional coordinate information, or both.
  • Image information including depth information can be obtained by using a measurable depth camera, and a camera for acquiring two-dimensional coordinates can provide planar image information.
  • the image recognition module 2 is configured to store a retrieval form of an index number corresponding to a limb motion and/or a facial expression, identify a limb motion and/or a facial expression of the person in the image information, and identify the recognized limb motion and/or face The expression finds the corresponding index number in the search form.
  • the facial expression and/or the limb movement of the character are modeled, and the specific algorithm of the modeling is not limited by the present invention.
  • different body movements such as standing, sitting, lying, bending, and the like are collected, and a database of limb movements is established through machine learning.
  • the model of the limb movement can be two-dimensional or three-dimensional, depending on whether the camera module used in the modeling is a camera for acquiring two-dimensional coordinates or a depth-detectable camera.
  • Each limb action corresponds to an index number. After the body motion modeling is completed, a retrieval form of different limb movements and corresponding index numbers can be obtained.
  • 0001 stands for standing
  • 0002 stands for sitting
  • 0003 stands for lying
  • 0004 stands for bending, and so on.
  • the method of establishing a retrieval form for facial expressions is the same as the principle of establishing a retrieval form for physical movements, and no further description is made.
  • the above search table is stored in the image recognition module 2.
  • the image recognition module 2 recognizes the limb motion and/or facial expression of the person in the image in the image input by the camera module 1, and finds the corresponding index number in the aforementioned search table.
  • the image recognition module 2 transmits the index number through the communication module 3. For example, it is sent to a host that cooperates with the camera module.
  • the host can be a host such as a computer, cell phone, tablet or head mounted display device. Head-mounted display devices such as virtual reality devices, augmented reality devices, mixed reality devices, and the like.
  • One end of the host stores the same search form as the aforementioned search table stored in the camera module. And at the host end, corresponding to different index numbers can correspondingly generate different virtual human body movements or facial expressions.
  • the host can also send the index number to another host to generate a corresponding virtual character on another host.
  • the image recognition module 2 recognizes that the character in the image is in the standing posture at this time, the corresponding index number is found in the search table as 0001.
  • the image recognition module 2 transmits the index number 0001 to the host through the communication module 3.
  • the host can display a virtual character of a flat or three-dimensional standing posture on one end of the host.
  • the host can display the avatar of this standing posture on the local machine.
  • the host can also send the index number 0001 to the host of another user (social user) who is connected to the local machine for chatting, conference, etc., in another user's A virtual character showing a standing posture on the host.
  • the camera module After acquiring the image, the camera module provided by the embodiment performs a limb motion or a facial expression recognition on the character in the image, and correspondingly generates an index number of the recognized limb motion or facial expression, and sends an index number to the host. In this way, the amount of data sent by the camera module to the host is small, and it is beneficial to protect the privacy of the user.
  • the virtual character can synchronously display the physical motion or facial expression of the real person. In addition to the advantage of a small amount of data transmission, it also helps to protect personal privacy.
  • the camera module 1 includes a plurality of measurable depth cameras, and the image information collected by the plurality of measurable depth cameras is first spliced into one in the image recognition module 2. A complete image, then the body image or facial expression is recognized for this complete image.
  • the camera module 1 includes a plurality of cameras for acquiring two-dimensional coordinate information, such as a plurality of CMOS cameras.
  • a plurality of planar images acquired by the plurality of CMOS cameras are spliced into a complete planar image in the image recognition module 2, and then the complete planar image is subjected to recognition of a limb motion or a facial expression.
  • the images acquired by multiple cameras are stitched into one image, expanding the field of view.
  • the camera modules can be configured to allow the user to select whether to transmit real image information to the host or only the aforementioned index number.
  • the camera module shown in FIG. 2 includes a measurable depth camera 11, a CMOS camera 12, a switch module 4, an image recognition module 2, and a communication module 3.
  • the image recognition module 2 and the communication module 3 function the same as those in the embodiment shown in FIG.
  • the switch module 4 is used for the user to select whether the image information collected by the measurable depth camera 11 is sent to the image recognition module 2 to output the aforementioned index number through the communication module 3 or the real planar image captured by the CMOS camera 12. It is transmitted directly through the communication module 3 without passing through the image recognition module 2 (the communication line directly from the switch module 4 to the communication module 3 is not shown in Fig. 2).

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Abstract

本发明公开了一种摄像头模组和社交系统。该摄像头模组包括摄像头模块、图像识别模块和通信模块；所述摄像头模块用于将采集到的图像信息传输至图像识别模块；所述图像识别模块用于存储肢体动作和/或面部表情对应的索引号的检索表格、识别所述图像信息中的人物的肢体动作和/或面部表情、并将识别出的肢体动作和/或面部表情在检索表格查找对应的索引号；所述通信模块用于将所述对应的索引号发送至与所述摄像头模组配合的主机。本发明提供的摄像头模组降低了对主机传输的数据量,且有利于保护用户隐私。

Description

摄像头模组和社交系统 技术领域
本发明涉及图像处理领域，更具体地，涉及一种摄像头模组和社交系统。
背景技术
用户通过社交软件进行视频社交，当与陌生人进行视频聊天时，摄像头采集到的用户的真实图像被传送至聊天的对方。这样存在泄露个人隐私的风险。而如果不进行视频交流，聊天过程又过于单一。
发明内容
本发明的一个目的是提供一种摄像头模组的新技术方案。
根据本发明的第一方面，提供了一种摄像头模组，包括摄像头模块、图像识别模块和通信模块；所述摄像头模块用于将采集到的图像信息传输至图像识别模块；所述图像识别模块用于存储肢体动作和/或面部表情对应的索引号的检索表格、识别所述图像信息中的人物的肢体动作和/或面部表情、并将识别出的肢体动作和/或面部表情在检索表格查找对应的索引号；所述通信模块用于将所述对应的索引号发送至与所述摄像头模组配合的主机。
可选地，所述摄像头模块包括可测深度摄像头和/或用于获取二维坐标信息的摄像头。
可选地，所述摄像头模块包括可测深度摄像头，所述图像信息包括包含深度信息的图像信息。
可选地，所述可测深度摄像头的数量为M，M为大于等于2的整数；所述图像识别模块还用于将所述M个可测深度摄像头获取的多张图像信息拼接成一张图像信息,以供识别。
可选地，所述摄像头模块包括用于获取二维坐标信息的摄像头；所述用于获取二维坐标信息的摄像头的数量为N，N为大于等于2的整数；所述图像识别模块还用于将所述N个用于获取二维坐标信息的获取的多张图像信息拼接成一张图像信息，以供识别。
可选地，所述摄像头模块还包括用于获取二维坐标信息的摄像头；还包括开关模块；所述开关模块用于供用户设置所述摄像头模组输出所述索引号或输出所述二维坐标信息。
根据本发明的第二方面，提供一种社交系统，包括前述的摄像头模组和主机；所述主机存储所述索引号对应的虚拟人物模型；用于从所述摄像头模组获取所述索引号，将该索引号发送至社交用户的主机；以及用于根据从社交用户的主机获取到的索引号，在所述主机显示所述索引号对应的虚拟人物。
本发明的发明人发现，在现有技术中，并无将图像处理模块、通信模块和摄像头模块集成为一个整体，并对外输出索引号的技术方案。因此，本发明所要实现的技术任务或者所要解决的技术问题是本领域技术人员从未想到的或者没有预期到的，故本发明是一种新的技术方案。
通过以下参照附图对本发明的示例性实施例的详细描述，本发明的其它特征及其优点将会变得清楚。
附图说明
被结合在说明书中并构成说明书的一部分的附图示出了本发明的实施例，并且连同其说明一起用于解释本发明的原理。
图1是本发明实施例提供的摄像头模组的框图。
图2是本发明另外一个实施例提供的摄像头模组的框图。
具体实施方式
现在将参照附图来详细描述本发明的各种示例性实施例。应注意到：除非另外具体说明，否则在这些实施例中阐述的部件和步骤的相对布置、数字表达式和数值不限制本发明的范围。
以下对至少一个示例性实施例的描述实际上仅仅是说明性的，决不作为对本发明及其应用或使用的任何限制。
对于相关领域普通技术人员已知的技术、方法和设备可能不作详细讨论，但在适当情况下，所述技术、方法和设备应当被视为说明书的一部分。
在这里示出和讨论的所有例子中，任何具体值应被解释为仅仅是示例性的，而不是作为限制。因此，示例性实施例的其它例子可以具有不同的值。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步讨论。
参见图1所示的摄像头模组，包括摄像头模块1、图像识别模块2和通信模块3。
摄像头模块1用于将采集到的图像信息传输至图像识别模块2。摄像头模块1可以包括可测深度摄像头或者用于获取二维坐标信息的摄像头(例如CMOS摄像头)，或者二者均包括。利用可测深度摄像头可以获得包含深度信息的图像信息，用于获取二维坐标的摄像头则可以提供平面的图像信息。
图像识别模块2用于存储肢体动作和/或面部表情对应的索引号的检索表格、识别所述图像信息中的人物的肢体动作和/或面部表情、并将识别出的肢体动作和/或面部表情在检索表格查找对应的索引号。
具体地，对人物的面部表情和/或肢体动作进行建模，本发明对建模的具体算法不做限定。
在一个例子中，采集不同人的站、坐、躺、弯腰等肢体动作，经过机器学习的方式建立肢体动作的数据库。
肢体动作的模型可以是二维的，也可以是三维的，取决于建模时采用的摄像头模块是用于获取二维坐标的摄像头还是可测深度摄像头。
每一种肢体动作对应一个索引号。肢体动作建模完成后即可获得不同肢体动作与对应索引号的检索表格。
例如0001代表站立、0002代表坐、0003代表躺、0004代表弯腰等等。
建立面部表情的检索表格的方法与建立肢体动作的检索表格的原理相同，不做赘述。
将上述检索表格存储于图像识别模块2中。图像识别模块2对摄像头模块1输入的图像中识别出图像中人物的肢体动作和/或面部表情，并在前述检索表格中查找到对应的索引号。
图像识别模块2将该索引号通过通信模块3发送出去。例如发送至与该摄像头模组配合的主机。主机可以是诸如计算机、手机、平板电脑或头戴显示设备的主机。头戴显示设备诸如虚拟现实设备、增强现实设备、混合现实设备等。
主机一端存储有与该摄像头模组中存储的前述检索表格相同的检索表格。并且在主机一端，对应于不同的索引号能够对应生成不同的虚拟的人物肢体动作或是面部表情。主机一端同样可以将该索引号发送至另外一台主机，供另外一台主机上生成对应的虚拟人物。
例如图像识别模块2识别出图像中的人物此时处于站立姿态，则在检索表格中找到对应的索引号为0001。图像识别模块2通过通信模块3将索引号0001发送至主机。主机通过查找索引号0001对应的肢体动作模型，即可在主机一端展现出一个平面的或者立体的站立姿态的虚拟人物。主机可以在本机上展示这个站立姿态的虚拟人物，主机同样可以把这个索引号0001发送至与本机联网的进行聊天、会议等的另外一个用户(社交用户)的主机，在另外一个用户的主机上展现站立姿态的虚拟人物。
本实施例提供的摄像头模组在采集图像之后，对图像中的人物进行肢体动作或者面部表情进行识别，并对应生成识别出的肢体动作或者面部表情的索引号，向主机发送索引号。如此设置，摄像头模组向主机发送的数据量小，且有利于保护用户个人隐私。
而本实施例提供的摄像头模组与主机共同构成的社交系统，则可以实现虚拟人物同步展现真实人物的肢体动作或面部表情。除了具有数据传输量小的优点，还有利于保护个人隐私。
在一个优化的例子中，摄像头模块1包括多个可测深度摄像头，多个可测深度摄像头采集到的图像信息在图像识别模块2中被首先拼接成一个 完整的图像，然后对这个完整的图像进行肢体动作或面部表情的识别。
在另一个优化的例子中，摄像头模块1包括多个用于获取二维坐标信息的摄像头，例如多个CMOS摄像头。多个CMOS摄像头采集到的多个平面图像在图像识别模块2中被拼接成一个完整的平面图像，然后对这个完整的平面图像进行肢体动作或面部表情的识别。
在这两个优化的例子中，由于多个摄像头采集的图像拼接成一个图像，扩大的视野面积。
在前述的所有例子中，摄像头模组均可以被设置为供用户选择是向主机传输真实图像信息还是仅传输前述的索引号。
图2所示的摄像头模组包括可测深度摄像头11、CMOS摄像头12、开关模块4、图像识别模块2、通信模块3。
图像识别模块2和通信模块3与图1所示实施例中所起作用相同。
开关模块4用于供用户选择是将可测深度摄像头11采集的图像信息发送至图像识别模块2，以通过通信模块3对外输出前述的索引号，还是将CMOS摄像头12采集到的真实的平面图像不经过图像识别模块2而直接通过通信模块3发送出去(从开关模块4直接到通信模块3的通信线路在图2中没有示出)。
虽然已经通过例子对本发明的一些特定实施例进行了详细说明，但是本领域的技术人员应该理解，以上例子仅是为了进行说明，而不是为了限制本发明的范围。本领域的技术人员应该理解，可在不脱离本发明的范围和精神的情况下，对以上实施例进行修改。本发明的范围由所附权利要求来限定。

Claims (7)

  1. 一种摄像头模组，其特征在于，
    包括摄像头模块、图像识别模块和通信模块；
    所述摄像头模块用于将采集到的图像信息传输至图像识别模块；
    所述图像识别模块用于存储肢体动作和/或面部表情对应的索引号的检索表格、识别所述图像信息中的人物的肢体动作和/或面部表情、并将识别出的肢体动作和/或面部表情在检索表格查找对应的索引号；
    所述通信模块用于将所述对应的索引号发送至与所述摄像头模组配合的主机。
  2. 根据权利要求1所述的摄像头模组，其特征在于，
    所述摄像头模块包括可测深度摄像头和/或用于获取二维坐标信息的摄像头。
  3. 根据权利要求2所述的摄像头模组，其特征在于，
    所述摄像头模块包括可测深度摄像头，所述图像信息包括包含深度信息的图像信息。
  4. 根据权利要求3所述的摄像头模组，其特征在于，
    所述可测深度摄像头的数量为M，M为大于等于2的整数；
    所述图像识别模块还用于将所述M个可测深度摄像头获取的多张图像信息拼接成一张图像信息,以供识别。
  5. 根据权利要求2所述的摄像头模组，其特征在于，
    所述摄像头模块包括用于获取二维坐标信息的摄像头；
    所述用于获取二维坐标信息的摄像头的数量为N，N为大于等于2的整数；
    所述图像识别模块还用于将所述N个用于获取二维坐标信息的获取的多张图像信息拼接成一张图像信息，以供识别。
  6. 根据权利要求3所述的摄像头模组，其特征在于，
    所述摄像头模块还包括用于获取二维坐标信息的摄像头；
    还包括开关模块；
    所述开关模块用于供用户设置所述摄像头模组输出所述索引号或输出所述二维坐标信息。
  7. 一种社交系统，其特征在于，
    包括根据权利要求1所述的摄像头模组和主机；
    所述主机存储所述索引号对应的虚拟人物模型；用于从所述摄像头模组获取所述索引号，将该索引号发送至社交用户的主机；以及用于根据从社交用户的主机获取到的索引号，在所述主机显示所述索引号对应的虚拟人物。
PCT/CN2017/106559 2017-08-25 2017-10-17 摄像头模组和社交系统 Ceased WO2019037217A1 (zh)

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