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Book
5396views
17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li

Book
640views
17 years 5 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari

Lecture Notes
443views
17 years 4 months ago
Design and Analysis of Computer Algorithms
"This course will consist of a number of major sections. The first will be a short review of some preliminary material, including asymptotics, summations, and recurrences and ...
David M. Mount
CVPR
2009
IEEE
17 years 1 months ago
Cooperative Mapping of Multiple PTZ Cameras in Automated Surveillance Systems
Due to the capacity of pan-tilt-zoom (PTZ) cameras to simultaneously cover a panoramic area and maintain high resolution imagery, researches in automated surveillance systems wi...
Andreas Koschan, Anis Drira, Chung-Chen Chen, Mong...
CVPR
2009
IEEE
2653views Computer Vision» more  CVPR 2009»
17 years 18 days ago
Expression-Insensitive 3D Face Recognition using Sparse Representation
We present a face recognition method based on sparse representation for recognizing 3D face meshes under expressions using low-level geometric features. First, to enable the applic...
Xiaoxing Li, Tao Jia, Hao Zhang 0002