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The top documents tagged [feature space analysis]
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feature space analysis
Recent Developments in Video Surveillance
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1 Lecture 11 Segmentation and Grouping Gary Bradski Sebastian Thrun * Pictures from Mean Shift: A Robust Approach.
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Color reduction using the combination of the kohonen self organized feature map and the gustafson-kessel fuzzy algorithm
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Self-Validated Labeling of MRFs for Image Segmentation Wei Feng 1,2, Jiaya Jia 2 and Zhi-Qiang Liu 1 1. School of Creative Media, City University of Hong.
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Grouping and Segmentation Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem 03/01/10.
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Dorin Comaniciu, Visvanathan Ramesh and Peter Meer “Kernel-Based Object Tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25,
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ALIGNMENT OF 3D ARTICULATE SHAPES. Articulated registration Input: Two or more 3d point clouds (possibly with connectivity information) of an articulated.
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Mean-shift and its application for object tracking
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Lecture 30: Segmentation
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Mean Shift Theory and Applications Reporter: Zhongping Ji.
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CSE 185 Introduction to Computer Vision Pattern Recognition 2.
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Non-Euclidean Example: The Unit Sphere. Differential Geometry Formal mathematical theory Work with small ‘patches’ –the ‘patches’ look Euclidean Do calculus.
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