Title: Calibration and segmentation free 3D modelling from images based on GPU

Authors: Bo Shu, Xianjie Qiu, Zhaoqi Wang

Addresses: Virtual Reality Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; Graduate University of the Chinese, Academy of Sciences, Beijing 100049, China. ' Virtual Reality Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China. ' Virtual Reality Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

Abstract: This paper presents an automatic image-based modelling method based on shape from silhouettes that does not need any user interactions of camera calibration or image segmentation. Under circular motion constraints, using an iterative optimisation of graph cuts and conjugate direction minimisation, we can label an object|s visual hull and minimise silhouette coherence, which is the difference between projected visual hull and the background-subtracted silhouettes. This process can converge to accurate camera parameters and smooth visual hull. Using Graphics Processing Unit and its parallel computation ability, our approach is not only automatic but also efficient, and can produce realistic 3D models.

Keywords: silhouette shapes; calibration; segmentation; graph cuts; Powell|s method; 3D modelling; silhouettes; GPU; graphics processing unit; parallel computing; image-based modelling; conjugate directions.

DOI: 10.1504/IJCAT.2010.034155

International Journal of Computer Applications in Technology, 2010 Vol.38 No.1/2/3, pp.185 - 191

Published online: 16 Jul 2010 *

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