Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video

Three-dimensional (3-D) video is a real 3-D movie recording the object´s full 3-D shape, motion, and precise surface texture. This paper first proposes a parallel pipeline processing method for reconstructing a dynamic 3-D object shape from multiview video images, by which a temporal series of full 3-D voxel representations of the object behavior can be obtained in real time. To realize the real-time processing, we first introduce a plane-based volume intersection algorithm: first represent an observable 3-D space by a group of parallel plane slices, then back-project observed multiview object silhouettes onto each slice, and finally apply two-dimensional silhouette intersection on each slice. Then, we propose a method to parallelize this algorithm using a PC cluster, where we employ five-stage pipeline processing in each PC as well as slice-by-slice parallel silhouette intersection. Several results of the quantitative performance evaluation are given to demonstrate the effectiveness of the proposed methods. In the latter half of the paper, we present an algorithm of generating video texture on the reconstructed dynamic 3-D object surface. We first describe a naive view-independent rendering method and show its problems. Then, we improve the method by introducing image-based rendering techniques. Experimental results demonstrate the effectiveness of the improved method in generating high fidelity object images from arbitrary viewpoints.