CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
CVPR
2003
IEEE
15 years 1 months ago
2003
IEEE
For object recognition under varying illumination conditions, we propose a method based on photometric alignment. The photometric alignment is known as a technique that models bot...
CVPR
2003
IEEE
15 years 1 months ago
2003
IEEE
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZGimpy, examples of visual CAPTCHAs. A CAPTCHA ("Completely Au...
CVPR
2003
IEEE
15 years 1 months ago
2003
IEEE
CVPR
2001
IEEE
15 years 1 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
CVPR
2000
IEEE
15 years 1 months ago
2000
IEEE
113
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Lab
VIMS Lab is situated in Department of Computer & Information Sc, University of Delaware, Newark, DE. USA.
At VIMS we work on various problems related to image/video processing...
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Shao-Chuan Wang, or Shawn Wang, is a scientist. His research interests include supvervised/unsupervised learning problems, computer vision, object recognition (segmentation-based o...