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AAAI
1993
15 years 14 days ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
AAAI
1996
15 years 14 days ago
A Hybrid Learning Approach for Better Recognition of Visual Objects
Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...
Ibrahim F. Imam, Srinivas Gutta
ICPR
2006
IEEE
16 years 7 days ago
A Model-based Approach for Rigid Object Recognition
Most object recognition systems require large databases of real images for classifier training. To collect real images for this purpose is a difficult and expensive process. This ...
Chee Boon Chong, Fee-Lee Lim, Tele Tan

Lab
815views
16 years 2 months ago
Video/Image Modeling and Synthesis (VIMS) 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...
CCS
2010
ACM
15 years 2 months ago
Scene tagging: image-based CAPTCHA using image composition and object relationships
In this paper, we propose a new form of image-based CAPTCHA we term "scene tagging". It tests the ability to recognize a relationship between multiple objects in an imag...
Peter Matthews, Cliff Changchun Zou