Feature-based 3-D surface reconstruction directed by grid space projection

Authors:
Mohammed T. El-Sonni;Wesam M. Dawoud
Affiliations:
College of Computing Engineering, Arab Academy of Science and Technology and Maritime Transport, Alexandria, Egypt;College of Computing Engineering, Arab Academy of Science and Technology and Maritime Transport, Alexandria, Egypt
Venue:
ICAI'05/MCBC'05/AMTA'05/MCBE'05 Proceedings of the 6th WSEAS international conference on Automation & information, and 6th WSEAS international conference on mathematics and computers in biology and chemistry, and 6th WSEAS international conference on acoustics and music: theory and applications, and 6th WSEAS international conference on Mathematics and computers in business and economics
Year:
2005

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Abstract

In this paper we describe a voxel-based 3-D reconstruction algorithm from multiple calibrated camera views. Unlike image-based algorithms, this algorithm is capable of detecting occlusion explicitly, and recovering the conventional Stereo Algorithms limitations; the algorithm is extendable to reconstruct the full surface without any restrictions on the cameras distribution. Because of using stable features at consistency checking the mismatching probability is decreased. The Grid Space is traced one time only; hence, there is no any additional computation or memory consuming. In spite of that, experimental results on both real and synthetic images show the algorithm efficiency and time preserving.