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CVPR
2004
IEEE
16 years 5 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
154
Voted
PG
2000
IEEE
15 years 8 months ago
Morphing Using Curves and Shape Interpolation Techniques
This paper presents solutions to the feature correspondence and feature interpolation problems in image morphing. The user specifies the correspondence between the source and the...
Henry Johan, Yuichi Koiso, Tomoyuki Nishita
86
Voted
HICSS
2003
IEEE
62views Biometrics» more  HICSS 2003»
15 years 9 months ago
A Study on the Impacts of Verbal Interaction in Proximate GSS Sessions
Although distributed Group Support Systems (GSS) are getting popular, there are still some limitations. One of the limitations is few substitutions for face-to-face (FTF) interact...
Tsuneki Mukahi, Gail Corbitt
141
Voted
ICCV
2003
IEEE
16 years 5 months ago
Geometric Segmentation of Perspective Images Based on Symmetry Groups
Symmetry is an effective geometric cue to facilitate conventional segmentation techniques on images of man-made environment. Based on three fundamental principles that summarize t...
Allen Y. Yang, Shankar Rao, Kun Huang, Wei Hong, Y...
CVPR
2000
IEEE
16 years 5 months ago
Agent-Based Moving Object Correspondence Using Differential Discriminative Diagnosis
We propose a novel method for temporally and spatially corresponding moving objects by automatically learning the relevance of the objects' appearance features to the task of...
Mahesh Saptharishi, John B. Hampshire II, Pradeep ...