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Min C. Shin, Ph.D.

Affiliations: 
2001 University of South Florida, Tampa, FL, United States 
Area:
Computer Science
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"Min Shin"
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Dmitry B. Goldgof grad student 2001 University of South Florida
 (Tracking of three-dimensional nonrigid motion and structure using points and curves.)

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Publications

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Fasciano T, Souvenir R, Shin MC. (2013) Learning to rank biological motion trajectories Image and Vision Computing. 31: 502-510
Nguyen NH, Keller S, Norris E, et al. (2011) Tracking colliding cells in vivo microscopy. Ieee Transactions On Bio-Medical Engineering. 58
Kamoun WS, Schmugge SJ, Kraftchick JP, et al. (2008) Liver microcirculation analysis by red blood cell motion modeling in intravital microscopy images. Ieee Transactions On Bio-Medical Engineering. 55: 162-70
Tsap LV, Duchaineau M, Goldgof DB, et al. (2007) Data-driven feature modeling, recognition and analysis in a discovery of supersonic cracks in multimillion-atom simulations Pattern Recognition. 40: 2400-2407
Schmugge SJ, Zaffar MA, Tsap LV, et al. (2007) Task-based evaluation of skin detection for communication and perceptual interfaces Journal of Visual Communication and Image Representation. 18: 487-495
Shin MC, Tsap LV, Goldgof DB. (2004) Gesture recognition using Bezier curves for visualization navigation from registered 3-D data Pattern Recognition. 37: 1011-1024
Tsap LV, Shin MC. (2004) Dynamic disparity adjustment and histogram-based filtering of range data for fast 3-D hand tracking Digital Signal Processing: a Review Journal. 14: 550-565
Shin MC, Tsap LV, Goldgof DB. (2003) Towards Perceptual Interface for Visualization Navigation of Large Data Sets Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 5
Shin MC, Goldgof DB, Bowyer KW, et al. (2001) Comparison of edge detection algorithms using a structure from motion task. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 31: 589-601
Shin MC, Goldgof DB, Bowyer KW. (2001) Comparison of edge detector performance through use in an object recognition task Computer Vision and Image Understanding. 84: 160-178
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