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» Fast Object Detection with Occlusions
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CVPR
1996
IEEE
14 years 9 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
ICCV
2009
IEEE
13 years 5 months ago
Dense 3D reconstruction method using a single pattern for fast moving object
Dense 3D reconstruction of extremely fast moving objects could contribute to various applications such as body structure analysis and accident avoidance and so on. The actual case...
Ryusuke Sagawa, Yuichi Ota, Yasushi Yagi, Ryo Furu...
CVPR
2007
IEEE
14 years 9 months ago
Saliency Detection: A Spectral Residual Approach
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains...
Xiaodi Hou, Liqing Zhang
PR
2008
188views more  PR 2008»
13 years 7 months ago
Detection and recognition of contour parts based on shape similarity
Due to distortion, noise, segmentation errors, overlap, and occlusion of objects in digital images, it is usually impossible to extract complete object contours or to segment the ...
Xiang Bai, Xingwei Yang, Longin Jan Latecki
MEMICS
2010
13 years 2 months ago
Simultaneous Tracking of Multiple Objects Using Fast Level Set-Like Algorithm
A topological flexibility of implicit active contours is of great benefit, since it allows simultaneous detection of several objects without any a priori knowledge about their num...
Martin Maska, Pavel Matula, Michal Kozubek