Paper
27 January 2006 Run-based volume intersection for shape recovery of objects from their silhouettes
Kenji Shoji, Sayaka Sakamoto, Hiroki Iwase, Fubito Toyama, Juichi Miyamichi
Author Affiliations +
Proceedings Volume 6056, Three-Dimensional Image Capture and Applications VII; 60560W (2006) https://doi.org/10.1117/12.642749
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
Volume intersection (VI) is a successful technique for reconstructing 3-D shapes from 2-D images (silhouettes) of multiple views. It consists of intersecting the cones formed by back-projecting each silhouette. The 3-D shapes reconstructed by VI are called visual hull (VH). In this paper we propose a fast method obtaining the VH. The method attempts to reduce the computational cost by using a run representation for 3-D objects called SPXY table that is previously proposed by us. It makes cones by back-projecting the 2-D silhouettes to the 3-D space through the centers of the lens and intersects them keeping the run representation. To intersect the cones of multiple views keeping the run representation, we must align the direction of runs representing the cones. To align them we use the method of swapping two axes of a run-represented object at the time cost of O(n) where n is a number of runs, which is also previously proposed by us. The results of experiments using VRML objects such as human bodies show that the proposed method can reconstruct a 3-D object in less than 0.17 s at the resolution of 220 × 220 × 220 voxels from a set of silhouettes of 8 viewpoints on a single CPU.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenji Shoji, Sayaka Sakamoto, Hiroki Iwase, Fubito Toyama, and Juichi Miyamichi "Run-based volume intersection for shape recovery of objects from their silhouettes", Proc. SPIE 6056, Three-Dimensional Image Capture and Applications VII, 60560W (27 January 2006); https://doi.org/10.1117/12.642749
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KEYWORDS
Cameras

3D image processing

Image segmentation

Video

Binary data

3D image reconstruction

Image resolution

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