Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
OpenVIDIA: parallel GPU computer vision
Proceedings of the 13th annual ACM international conference on Multimedia
ACM SIGGRAPH 2006 Papers
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Region-Tree Based Stereo Using Dynamic Programming Optimization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Fast support vector machine training and classification on graphics processors
Proceedings of the 25th international conference on Machine learning
Multi-Class Segmentation with Relative Location Prior
International Journal of Computer Vision
Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
Proceedings of the 30th DAGM symposium on Pattern Recognition
Vlfeat: an open and portable library of computer vision algorithms
Proceedings of the international conference on Multimedia
The estimation of the gradient of a density function, with applications in pattern recognition
IEEE Transactions on Information Theory
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The paper presents an exact GPU implementation of the quick shift image segmentation algorithm. Variants of the implementation which use global memory and texture caching are presented, and the paper shows that a method backed by texture caching can produce a 10-50X speedup for practical images, making computation of super-pixels possible at 5-10Hz on modest sized (256x256) images.