Projective clustering and its application to surface reconstruction

Proceedings of the Annual Symposium on Computational Geometry

Volumn 2006, Issue , 2006, Pages 477-478

  Mhatre, Amit ^a   Kumar, Piyush ^a  

^a Florida State University   (United States)

Author keywords

Core Sets; Projective Clustering

Indexed keywords

ALGORITHMS; COMPUTER AIDED DESIGN; ESTIMATION; IMAGE RECONSTRUCTION; TENSORS; TREES (MATHEMATICS);

CORE SETS; MANIFOLDS; PROJECTIVE CLUSTERING; RECONSTRUCTION ALGORITHMS;

COMPUTATIONAL GEOMETRY;

EID: 33748044309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1137856.1137927     Document Type: Conference Paper

References (4)

1. CHAN, T. M. Closest-point problems simplified on the RAM. In Proceedings of the 13th Annual ACM-SIAM Symposium On Discrete Mathematics (New York, Jan. 2002), ACM Press, pp. 472-473.
2. KUMAR, P., AND KUMAR, P. Almost optimal solutions to k-clustering problems. Manuscript, FSU, 2005.
3. KUMAR, P., AND MHATRE, A. Fast and accurate normal estimation of point clouds. Manuscript, Florida State University, 2006.
4. PAJAROLA, R. Stream-processing points. In Proceedings IEEE Visualization, 8005, Online. (2005), Computer Society Press.