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86
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PRL
2007
158views more  PRL 2007»
15 years 10 days ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
IJCV
2006
164views more  IJCV 2006»
15 years 25 days ago
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. F...
Olivier Juan, Renaud Keriven, Gheorghe Postelnicu
151
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MIR
2003
ACM
391views Multimedia» more  MIR 2003»
15 years 6 months ago
Generic sign board detection in images
Sign board detection is important for such computer vision applications as video surveillance and content based visual information retrieval. Previous researches on this topic foc...
Hua Shen, Xiaoou Tang
BIOID
2008
258views Biometrics» more  BIOID 2008»
15 years 2 months ago
3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions
Abstract. This paper presents an evaluation of several 3D face recognizers on the Bosphorus database which was gathered for studies on expression and pose invariant face analysis. ...
Nese Alyüz, Berk Gökberk, Hamdi Dibeklio...
111
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RSCTC
2004
Springer
200views Fuzzy Logic» more  RSCTC 2004»
15 years 6 months ago
A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis
The theory of rough sets and formal concept analysis are compared in a common framework based on formal contexts. Different concept lattices can be constructed. Formal concept ana...
Yiyu Yao