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» Computer Vision: Algorithms and Applications
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CVPR
2008
IEEE
16 years 6 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
ICPR
2008
IEEE
15 years 11 months ago
Application of the wrapper framework for image object detection
Tools for automatic image understanding for managing operator workloads are essential. One common task for image analysts is the scanning large collections of real-time images loo...
Michael Farmer
JGAA
2007
135views more  JGAA 2007»
15 years 4 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
ANOR
2008
127views more  ANOR 2008»
15 years 5 months ago
Computer science and decision theory
This paper reviews applications in computer science that decision theorists have addressed for years, discusses the requirements posed by these applications that place great strai...
Fred S. Roberts
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
15 years 11 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...