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CVPR
2008
IEEE
13 years 9 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
BMVC
2000
13 years 9 months ago
Recognizing Objects From Curvilinear Motion
This paper introduces an object recognition strategy based on the following premises: i) an object can be identified on the basis of the optical flow it induces on a stationary ob...
Tal Arbel, Frank P. Ferrie, Marcel Mitran
ICPR
2000
IEEE
14 years 8 months ago
A Quick 3D-2D Registration Method for a Wide-Range of Applications
Amethod for quick determination of the position and pose of a 3D free-form object with respect to its 2D projective image(s) is proposed. It is a precondition of the method that a...
Yasuyo Kita, Nobuyuki Kita, Dale L. Wilson, J. Ali...
CVIU
2006
209views more  CVIU 2006»
13 years 7 months ago
Joint optical flow estimation, segmentation, and 3D interpretation with level sets
This paper describes a variational method with active curve evolution and level sets for the estimation, segmentation, and 3D interpretation of optical flow generated by independe...
Hicham Sekkati, Amar Mitiche
CVPR
2005
IEEE
14 years 9 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah