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Results 1-10 of 22 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2003False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentationWang, H.; Suter, D.; Digital Image Computing: Techniques and Applications (2003 : Sydney, Australia)
2003Extracting motion from images: Robust optic flow and structure from motionSuter, D.; Chen, P.; Wang, H.; Australia-Japan Advanced Workshop on Computer Vision (2003 : Adelaide)
2004Robust Fitting by Adaptive-Scale Residual ConsensusWang, H.; Suter, D.; Pajdla, T.; Matas, J.; European Conference on Computer Vision (8th : 2004 : Prague, Czech Republic)
2003Color image segmentation using global information and local homogeneityWang, H.; Suter, D.; Digital Image Computing: Techniques and Applications (2003 : Sydney, Australia)
2003A model-based range image segmentation algorithm using a novel robust estimatorWang, H.; Suter, D.; International Workshop on Statistical and Computational Theories of Vision (3rd : 2003 : Nice, France)
2004Robust fitting using mean shift: Applications in computer visionSuter, D.; Wang, H.; Hubert, M.; Pison, G.; Struyf, A.; Aelst, S.
2009The ordered residual kernel for robust motion subspace clusteringChin, T.; Wang, H.; Suter, D.; Neural Information Processing Systems Conference (2009 : Vancouver, Canada)
2008A Model-selection Framework for Multibody Structure-and-Motion of Image SequencesSchindler, K.; Suter, D.; Wang, H.
2007Adaptive object tracking based on an effective appearance filterWang, H.; Suter, D.; Schindler, K.; Shen, C.
2004Robust adaptive-scale parametric model estimation for computer visionWang, H.; Suter, D.

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