Computer Vision Lab @ USC

At the Computer Vision Lab of the University of South Carolina (USC), we have been conducting exciting reseach related to computer vision, image processing and machine learning. Our main goals are to simulate basic human vision functions with computers and to develop novel image processing and machine learning techniques to deal with practical applications. These projects are supported by the National Science Foundataion (NSF), Air Force Office of Scientific Research (AFOSR) and the University of South Carolina.

Projects
Statistical Shape Analysis	Medical Image Segmentation	Perceptual Organization

People
Dr. Song Wang	Pahal Dalal	Brent Munsell	Kenton Oliver
Mike McLaughlin	Andrew Temlyakov	Yu Cao	Jarrell Waggoner
Habib Moukalled	Visiting Members: Dr. Xiangrong Zhou Mansheng Long Colin Kane	Former Members: Dr. Joachim Stahl Dr. Ted Richardson Adam Bailey Michael Dropps Feng Ge

Publications

2008

B. Munsell, P. Dalal, S. Wang, "Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study", to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence.
J. S. Stahl, K. Oliver, S. Wang. "Open Boundary Capable Edge Grouping with Feature Maps", IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (POCV), Anchorage, AK, June 2008. (PDF)
J. S. Stahl, S. Wang, "Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region information", IEEE Transaction on Pattern Analysis and Machine Intelligence, 2008. (PDF)

2007

J. S. Stahl, S. Wang, "Edge Grouping Combining Boundary and Region Information", IEEE Transactions on Image Processing, 2007. (PDF)
B. Munsell, P. Dalal, S. Wang, "A New Benchmark for Shape Correspondence Evaluation", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Brisbane, Australia, 2007. (PDF)
P. Dalal, B. C. Munsell, S. Wang, J. Tang, K. Oliver, H. Ninomiya, X. Zhou, H. Fujita. "A Fast 3D Correspondence Method for Statistical Shape Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007. (PDF)
F. Ge, S. Wang, T. Liu. New Benchmark for Image Segmentation Evaluation, Journal of Electronic Imaging, 16(3), 033011, 16 pages, 2007. (PDF)
S. Wang, J. S. Stahl, A. Bailey, M. Dropps, "Global Detection of Salient Convex Boundaries", International Journal of Computer Vision, vol. 71, no. 3, pp. 337-359, 2007. (PDF)

2006

T. Richardson, S. Wang. "Open-Curve Shape Correspondence Without Endpoint Correspondence", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 1, pp. 17-24, Copenhagen, Denmark, 2006(PDF)
J. S. Stahl, S. Wang, "Globally Optimal Grouping for Symmetric Boundaries", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 1030-1037, New York City, 2006. (PDF)
F. Ge, S. Wang, T. Liu, "Image-Segmentation Evaluation From the Perspective of Salient Object Extraction", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 1146-1153, New York City, 2006. (PDF)
S. Wang, F. Ge, T. Liu. "Evaluating Edge Detection Through Boundary Detection", EURASIP Journal on Applied Signal Processing (Special Issue on Performance Evaluation in Image Processing), Article ID 76278, pp. 1-15, 2006. (PDF)

2005

J. S. Stahl, S. Wang. Convex Grouping Combining Boundary and Region Information, IEEE International Conference on Computer Vision (ICCV), vol. 2, pp. 946-953, Beijing, China, 2005. (PDF)
T. Richardson, S. Wang. Nonrigid Shape Correspondence using Landmark Sliding, Insertion and Deletion, to appear in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Palm Springs, California, 2005. (PDF)
S. Wang, T. Kubota, J. M. Siskind, J. Wang. Salient Closed Boundary Extraction with Ratio Contour, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2005.(PDF)

2004

S. Wang, T. Kubota, and T. Richardson. Shape Correspondence through Landmark Sliding, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), I:143-150, Washington, DC, 2004. (PDF)
S. Wang, J. Wang, T. Kubota. From Fragments to Salient Closed Boundaries: An In-Depth Study, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), I:291-298, Washington, DC, 2004. (PDF)

2003

S. Wang, T. Kubota, J. M. Siskind. Salient Boundary Detection Using Ratio Contour, Neural Information Processing Systems Conference (NIPS), 1571-1578, Vancouver, Canada, 2003. (PDF)
S. Wang, X. Ji, Z.-P. Liang. Landmark-based Shape Deformation with Topology-Preserving Constraints, IEEE International Conference on Computer Vision (ICCV), 923-930, Nice, France, 2003. (PDF)
S. Wang, J. M. Siskind. Image Segmentation with Ratio Cut, IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(6):675-690, 2003. (PDF)

Contact webmaster
Room 3D11, 301 Main Street, Columbia SC.
Last Update: 09/26/08

Computer Vision Lab

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Publications