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个人简介
Professor Cooper's current research focuses on the development and application of new geometric, algebraic, and probabilistic approaches, models, and algorithms for recognizing and estimating 2D and 3D geometric information from images, video, and range data. Present specific research projects include: Geometry-based searching of very large image databases (100,000 or more images) using new geometric invariants for open or closed curves as search features.
研究兴趣
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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)pp.1193-1201, (2016)
2014 2nd International Conference on 3D Vision (2014): 153-160
Computer Vision and Pattern Recognitionpp.257-264, (2013)
Lecture Notes in Computer Science (2011)
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