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ROBOCUP
1999
Springer
141views Robotics» more  ROBOCUP 1999»
15 years 7 months ago
A Segmentation System for Soccer Robot Based on Neural Networks
An innovative technique for segmentation of color images is proposed. The technique implements an approach based on thresholding of the hue histogram. A new function for detecting...
Carmelo Amoroso, Antonio Chella, Vito Morreale, Pi...
ICCV
2009
IEEE
16 years 8 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller
IJCV
2006
299views more  IJCV 2006»
15 years 3 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
ECCV
2008
Springer
16 years 5 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
292
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Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li