Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] :11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers /
Contributor(s): Pelillo, Marcello [editor.] | Hancock, Edwin [editor.] | SpringerLink (Online service).Material type: BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 10746Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XII, 582 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319781990.Subject(s): Computer Science | Optical pattern recognition | Computer science | Computer vision | Electronic data processing | Artificial intelligence | Pattern Recognition | Arithmetic and Logic Structures | Image Processing and Computer Vision | Numeric Computing | Math Applications in Computer Science | Artificial IntelligenceOnline resources: Click here to access online
Clustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation.
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.