A performance controllable octree construction method

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Chen, Zen ^a   Chou, Hong Long ^a   Chen, Wen Chao ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE CODING; PATTERN RECOGNITION;

CONSTRUCTION TIME; CONVENTIONAL METHODS; MODEL ACCURACY; NEW CONSTRUCTIONS; OCTREE CONSTRUCTION; PERFORMANCE COMPARISON; PERFORMANCE GAPS; PROJECTION ERROR;

ITERATIVE METHODS;

EID: 77957952620     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761602     Document Type: Conference Paper

References (8)

1. R. Szeliski, "Rapid octree construction from image sequences," Computer Vision, Graphics and Image Processing: Image Understanding, vol. 58, no. 1, pp. 23-32, 1993.
2. G. K. M. Cheung, T. Kanade, J.Y. Bouguet and M. Holler, "A real time system for robust 3D voxel reconstruction of human motions," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2000, pp.714-720.
3. Y.H. Fang, H.L. Chou, and Z. Chen, "3D shape recovery of complex objects from multiple silhouette images," Pattern Recognition Letters 24, 1279-1293, 2003.
4. H. L. Chou and Z. Chen, "Fast octree construction endowed with an error bound controlled subdivision scheme," J. of Information Science and Engineering, vol. 22, no. 3, pp. 641-657, 2006.
5. S. M. Seitz and C. R. Dyer, "Photorealistic scene reconstruction by voxel coloring," Int. J. of Computer Vision, Vol. 35, no. 2, pp. 151-173, 1999.
6. W. Matusik, C. Buehler, and L. McMillan, "Polyhedral visual hulls for real time rendering," in Proc. 12th Eurographics Workshop on Rendering, pp. 115-125, 2001.
7. D. Scharstein and R. Szeliski," A taxonomy and evaluation of dense two-frame stereo correspondence algorithms," Int. J. Computer Vision, vol. 47, no. 1, pp. 7-42, 2002.
8. Y. Deng, Q. Yang, X. Lin, and X. Tang, "Asymmetric patchbased correspondence model for occlusion handling," in Proc. IEEE Int. Conf. Computer Vision, vol. 2, pp. 1316-1322, 2005.