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» Randomness and Geometric Features in Computer Vision
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ICPR
2010
IEEE
13 years 9 months ago
Compressing Sparse Feature Vectors Using Random Ortho-Projections
In this paper we investigate the usage of random ortho-projections in the compression of sparse feature vectors. The study is carried out by evaluating the compressed features in ...
Esa Rahtu, Mikko Salo, Janne Heikkilä
ICPR
2004
IEEE
14 years 8 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
CVPR
2006
IEEE
14 years 9 months ago
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingl...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
ACCV
2007
Springer
14 years 1 months ago
Backward Segmentation and Region Fitting for Geometrical Visibility Range Estimation
Abstract. We present a new application of computer vision: continuous measurement of the geometrical visibility range on inter-urban roads, solely based on a monocular image acquis...
Erwan Bigorgne, Jean-Philippe Tarel
ACIVS
2006
Springer
14 years 1 months ago
Adaptive Vision Leveraging Digital Retinas: Extracting Meaningful Segments
In general, the less probable an event, the more attention we pay to it. Likewise, considering visual perception, it is interesting to regard important image features as those that...
Nicolas Burrus, Thierry M. Bernard