Stability of hausdorff-based distance measures

Proceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing

Volumn , Issue , 2004, Pages 590-595

  Shapiro, Michael D ^a   Blaschko, Matthew B ^b  

^a 120 Garfield P1   (United States)

^b Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

Hausdorff; Object Recognition; Spatially Coherent Matching

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DISTANCE MEASUREMENT; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PATTERN MATCHING; SET THEORY; SPURIOUS SIGNAL NOISE;

EDGE-BASED MATCHING; HAUSDORFF-BASED ALGORITHMS; POSTERIORI ESTIMATE; SPATIALLY COHERENT MATCHING;

OBJECT RECOGNITION;

EID: 11144295667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Y. Boykov, D. Huttenlocher, A New Bayesian Approach to Object Recognition, Proceedings of IEEE CVPR, 1999, 517-523.
2. M. P. Dubuisson, and A. K. Jain, A modified Hausdorff distance for object matching. ICPR94, pp. A:566-568, Jerusalem, Israel, 1994
3. D. Huttenlocher, G. Klanderman, and W. Rucklidge, Comparing Images Using the Hausdorff Distance, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 15, no. 9, pp. 850-863, 1993
4. H. Murase, S. Nayar, Visual Learning and Recognition of 3-D Objects from Appearance. Int. J. Computer Vision. 14(1): 5-24, Jan. 1995
5. M. Shapiro, M. Blaschko, On Hausdorff Distance Measures, UMass Tech. Kept, to appear.