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» Randomness and Geometric Features in Computer Vision
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ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
15 years 16 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
14 years 8 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng
ICPR
2000
IEEE
14 years 8 months ago
Application of Planar Motion Segmentation for Scene Text Extraction
This paper explores an approach for extracting scene text from a sequence of images with relative motion between the camera and the scene. It is assumed that the scene text lies o...
Tarak Gandhi, Rangachar Kasturi, Sameer Antani
ICPR
2010
IEEE
13 years 11 months ago
Scene Text Extraction with Edge Constraint and Text Collinearity
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it veriï...
Seonghun Lee, Kyomin Jung, Jin Hyung Kim
ICPR
2010
IEEE
13 years 6 months ago
Face Recognition At-A-Distance Using Texture, Dense and Sparse-Stereo Reconstruction
This paper introduces a framework for long-distance face recognition using dense and sparse stereo reconstruction, with texture of the facial region. Two methods to determine corr...
Ham Rara, Asem Ali, Shireen Elhabian, Aly A. Farag