Scale Space and Variational Methods in Computer Vision by Fiorella Sgallari, Almerico Murli & Nikos Paragios

Scale Space and Variational Methods in Computer Vision

By

  • Genre Computers
  • Publisher Springer Science & Business Media
  • Released
  • Size 42.72 MB
  • Length 946 Pages

Description

This book constitutes the refereed proceedings of the First International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2007, emanated from the joint edition of the 4th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2007 and the 6th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2007, held in Ischia Italy in May/June 2007.
The 24 revised full papers and 55 revised poster papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in topical sections on scale space and features extraction, image enhancement and reconstruction, image segmentation and visual grouping, motion analysis, optical flow, registration and tracking, 3D from images, scale space and feature extraction, image enhancement, reconstruction and texture synthesis, image segmentation and visual grouping, motion analysis, optical flow, registration and tracking, and biological relevance.

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