<title>Real-time 3D reconstruction system using CAM-based highly parallel processing board</title>

Abstract

In this paper, a new real-time 3D reconstruction system is proposed. It's based on a content addressable memory (CAM)- based highly parallel 3D voting algorithm from multiple cameras. By 3D voting we mean a counting the number of back- projection lines passing for each voxel. For reducing the memory size of 3D voxel space and highly parallel processing, our highly parallel processing board using CAM is very suitable. Because coordinates calculation for back-projection lines and coordinates searching for counting back-projection line passing can be carried out in a massively parallel manner, a CAM provides greater parallelism within a limited chip area. Thus, a compact and high level of parallelism can be achieved. Experimental results indicate that a real-time 3D reconstruction of 100 feature points in a 128 cube space from four 128 square images is possible. Therefore, a CAM-based 3D reconstruction system can be considered a promising candidate in the realization of a real-time motion capturing system.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.