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» Application of Level Set Methods in Computer Vision
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ACIVS
2008
Springer
16 years 1 months ago
Robust Curvature Extrema Detection Based on New Numerical Derivation
Abstract. Extrema of curvature are useful key points for different image analysis tasks. Indeed, polygonal approximation or arc decomposition methods used often these points to ini...
Cédric Join, Salvatore Tabbone
CVPR
2010
IEEE
16 years 24 days ago
Motion Detail Preserving Optical Flow Estimation
We discuss the cause of a severe optical flow estimation problem that fine motion structures cannot always be correctly reconstructed in the commonly employed multiscale variati...
Li Xu, Jiaya Jia, Yasuyuki Matsushita
ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
17 years 4 days ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
ICPR
2004
IEEE
16 years 8 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ICPR
2008
IEEE
16 years 1 months ago
Layer-based binarization for textual images
We developed a binarization approach to handle a large variety of images, from scanned flatbed images to images acquired by mobile phone cameras. The binarization is targeted at c...
Yaakov Navon