4D Capture Using Visibility Information of Multiple Projector Camera System

• Published in: 2014 2nd International Conference on 3D Vision Vol. 2; pp. 14 - 21
• Main Authors: Sagawa, Ryusuke, Kasuya, Nozomu, Oki, Yoshinori, Kawasaki, Hiroshi, Matsumoto, Yoshio, Furukawa, Ryo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2014
• Subjects: 3D reconstruction; Cameras; Image edge detection; Image reconstruction; Marker-less human motion capture; Merging; Shape; Surface reconstruction; Three-dimensional displays
• ISSN: 1550-6185
• DOI: 10.1109/3DV.2014.70

In this paper, we propose a method with multiple cameras and projectors for 4D capture of moving objects. The issues of previous 4D capture systems are that the number of cameras are limited, and the number of images is very large to capture the sequence at high frame rate. We propose a multiple projector-camera system to tackle this problem. One of the issues of multi-view stereo is to determine visibility of cameras for each point of the surface. While estimating the scene geometry and its visibility is a chicken-and-egg problem for passive multi-view stereo, it was solved by, for example, iterative approach conducting the estimation of visibility and the reconstruction of the scene geometry repeatedly. With our method, since visibility problem is independently solved by using the projected pattern, shapes are recovered efficiently without considering visibility problem. Further, the visibility information is not only used for multi-view stereo reconstruction, but also for merging 3D shapes to eliminate inconsistency between devices. The efficiency of the proposed method is tested in the experiments, proving the merged mesh is suitable for 4Dreconstruction.