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» Matching images more efficiently with local descriptors
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CCIA
2010
Springer
13 years 5 months ago
Real-Time Object Segmentation Using a Bag of Features Approach
In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentat...
David Aldavert, Arnau Ramisa, Ramon López d...
ICIP
2001
IEEE
14 years 12 months ago
A recursive optimal relevance feedback scheme for content based image retrieval
In this paper, an optimal relevance algorithm is proposed, which adapts the response of a content-based image retrieval (CBIR) system to the user's information needs. In part...
Anastasios D. Doulamis, Nikolaos D. Doulamis
CVPR
2012
IEEE
12 years 25 days ago
Cross-based local multipoint filtering
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, c...
Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Min...
WACV
2005
IEEE
14 years 4 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
CG
2005
Springer
13 years 10 months ago
Hyper-Resolution: Image detail reconstruction through parametric edges
Hyper-Resolution, a new technique for super-resolution reconstruction of images, is based on matching lowresolution target image details to their high-resolution counterparts from...
Lijun Yin, Matt T. Yourst