• Medientyp: E-Book
  • Titel: Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 – November 1, 2017, Revised Selected Papers
  • Beteiligte: Pelillo, Marcello [Herausgeber:in]; Hancock, Edwin [Herausgeber:in]
  • Erschienen: Cham: Springer, 2018
  • Erschienen in: Lecture notes in computer science ; 10746
    Bücher
    Computer Science
  • Umfang: Online-Ressource (XII, 582 p, online resource)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-319-78199-0
  • ISBN: 9783319781990
  • Identifikator:
  • Schlagwörter: Image processing ; Arithmetic and logic units, Computer ; Computer science Mathematics ; Pattern recognition ; Optical data processing. ; Computer science ; Computer Science ; Numerical analysis ; Artificial intelligence ; Computer arithmetic and logic units. ; Pattern recognition systems. ; Computer vision.
  • Entstehung:
  • Anmerkungen:
  • 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

    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