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» Object Detection Using Multi-local Feature Manifolds
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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
ETVC
2008
13 years 10 months ago
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing
s of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing Frank Nielsen Ecole Polytechnique, Palaiseau, France Sony CSL, Tokyo, Japan Abstract. We list the abstracts o...
Frank Nielsen
ICASSP
2009
IEEE
14 years 3 months ago
Compression of image patches for local feature extraction
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....
BMVC
2010
13 years 3 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
ICCVW
1999
Springer
14 years 1 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson