Adaptive space carving with texture mapping

Authors:
Yoo-Kil Yang;Jung Lee;Soo-Kyun Kim;Chang-Hun Kim
Affiliations:
Dept. of Visual Information Processing, Korea University;Dept. of Computer Science and Engineering, Korea University;Dept. of Computer Science and Engineering, Korea University;Dept. of Computer Science and Engineering, Korea University
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Year:
2005

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Abstract

Space carving reconstructs a 3D object from multiple images, but existing algorithms rely on a regular grid which makes poor use of memory. By using the image information, adaptive space carving uses a recursively generated structure which reduces memory requirements and thus allows a finer grid. After reconstruction, models are triangulated to facilitate texture mapping. Experimental results show the enhanced appearance of models reconstructed in this way.