Adaptive object recognition with image feature interpolation

Authors:
Sung Wook Baik;Ran Baik
Affiliations:
College of Electronics and Information Engineering, Sejong University, Seoul, Korea;Department of Computer Engineering, Honam University, Gwangju, Korea
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

Citing 5
Cited 0

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Abstract

The paper presents a novel image (feature) interpolation method to reinforce the adaptive object recognition system The system deals with texture images in a sequence according to changing perceptual conditions When it recognizes several classes of objects under variable conditions, a fundamental problem is that two or more classes are overlapped on the feature space This interpolation method is useful to resolve the overlapping issue.