A geometric functional for derivatives approximation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1682, Issue , 1999, Pages 507-512

  Sochen, Nir A ^a   Haralick, Robert M ^b   Zeevi, Yehoshua Y ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GRADIENT METHODS;

ADAPTIVE SMOOTHING; BAYESIAN APPROACHES; BELTRAMI FRAMEWORK; ESTIMATION METHODS; GRADIENT DESCENT METHOD; IMAGE-BASED; MAXIMUM PROBABILITY; NONLINEAR DIFFUSION;

COMPUTER VISION;

EID: 84948149455     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48236-9_51     Document Type: Conference Paper

References (13)

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9. N A Sochen, R M Haralick and Y Y Zeevi in preparation
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11. N Sochen, R Kimmel and R Malladi, “A general framework for low level vision”, IEEE Trans. on Image Processing, 7, (1998) 310-318.
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13. N Sochen and Y Y Zeevi, “Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space”, IEEE ICIP’98, Chicago, 1998.