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3D shape measurement of human shape from multiple viewpoint images using shape database

使用形状数据库从多视点图像进行人体形状的 3D 形状测量

基本信息

批准号：
17500119
负责人：
SAITO HIDEO
金额：
$ 2.32万
依托单位：
Keio University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17500119/
关键词：
Multiple Viewpoint Cameras Unsynchronized Cameras Human Shape Measurement Facial Shape Measurement Projector Principal Component Analysis Anatomical Human Shane Database Hand-held Cameras 移動カメラ画像列多視点画像形状データベース

项目摘要

The purpose of this research project is establish a method for measuring 3D shapes of human parts with approximate 1mm accuracy from multiple viewpoint images by using database that consists of several hundreds 3D shapes of human parts.In this research, we first pursue a method for measuring food shape from fixed and calibrated multiple cameras, and then have developed a pilot system that can easily reconstruct the shapes of foot shapes. By extending this method, we also established a method for recovering the shape of human facial/head area from an image sequence that captures multiple viewpoint images of the facial/head area with a handy camera that is moved freely by hand. In addition to this achievement, we also proposed a method for reconstructing facial shape from a frontal view image. Finally we extend those methods to a method for recovering facial shape from multiple viewpoint images taken by uncalibrated and unsynchronized multiple cameras, where we assume a situation that a object human's face is captured by surveillance cameras that are widely used for security purpose.As results, we demonstrated the effectiveness of the proposed methods : 1) the method for reconstructing food shape from multiple calibrated cameras, 2) the method for reconstructing facial/head area shape from multiple viewpoint images that are captured with a handy camera moving freely with a hand, 3) the method for reconstructing facial/head area shape from a single image captured from the front of the face with a single point illumination placed at the same position of the camera, and 4) the method for reconstructing facial/head area shape from a single image captured from the front of the face with a single point illumination placed at the same position of the camera, and 5) the method for reconstructing facial/head area shape from multiple viewpoint images captured with uncalibrated and unsynchronized multiple cameras.

本研究项目的目的是利用由数百个人体部位三维形状组成的数据库，建立一种从多个视点图像测量人体部位三维形状的方法，测量精度约为1mm。在这项研究中，我们首先探索了一种通过固定和校准的多摄像机测量食物形状的方法，然后开发了一个可以轻松重建脚形状的试点系统。通过扩展该方法，我们还建立了一种从图像序列中恢复人类面部/头部区域形状的方法，该图像序列使用手持自由移动的便携式相机捕获面部/头部区域的多个视点图像。除此之外，我们还提出了一种从正面视图图像重建面部形状的方法。最后，我们将这些方法扩展到一种从未经校准和不同步的多摄像机拍摄的多视点图像中恢复面部形状的方法，其中我们假设一个对象人脸被广泛用于安全目的的监控摄像机捕获。作为结果，我们证明了所提出方法的有效性：1)从多个校准的相机中重建食物形状的方法，2)从用手自由移动的手持相机捕获的多个视点图像中重建面部/头部区域形状的方法，3)从面部前方捕获的单个图像中重建面部/头部区域形状的方法，该图像放置在相机的同一位置上的单点照明。以及(4)在摄像机相同位置使用单点照明从面部前方捕获的单幅图像重建面部/头部区域形状的方法，以及(5)从未校准和不同步的多台摄像机捕获的多视点图像重建面部/头部区域形状的方法。