Energy Minimization Methods in Computer Vision and Pattern Recognition
11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers
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Beschreibung
This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017.
The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation.
Autor*in
Marcello Pelillo
Themen in »Energy Minimization Methods in Computer Vision and Pattern Recognition«
artificial intelligence clustering clustering analysis computer vision estimation image analysis image coding image processing image reconstruction machine learning motion estimation neural networks numerical methods object recognition optical flows