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CVPR
2003
IEEE
16 years 8 months ago
Optimal Linear Representations of Images for Object Recognition
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Xiuwen Liu, Anuj Srivastava, Kyle Gallivan
ICIP
2003
IEEE
16 years 7 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
16 years 19 days ago
Particle filtering using multiple cross-correlations for tracking occluded objects in cluttered scenes
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
Arie Nakhmani, Allen Tannenbaum
MVA
2007
137views Computer Vision» more  MVA 2007»
15 years 7 months ago
Object Based Contour Detection by Using Graph-cut on Stereo Image
In the last few years, computer vision and image processing techniques have been developed to solve many problems. One of them, graph cut method is powerful optimization technique...
Taehoon Kang, Jaeseung Yu, Jangseok Oh, Yunhwan Se...
MVA
1996
122views Computer Vision» more  MVA 1996»
15 years 7 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien