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SOCO
2010
Springer
14 years 10 months ago
Automatic circle detection on digital images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images without using the conventional Hough transform methods. The prop...
Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Aj...
CVPR
2005
IEEE
16 years 1 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
TIP
2010
155views more  TIP 2010»
14 years 6 months ago
Multiframe Super-Resolution Reconstruction of Small Moving Objects
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
CVPR
2008
IEEE
16 years 1 months ago
Relaxed matching kernels for robust image comparison
The popular bag-of-features representation for object recognition collects signatures of local image patches and discards spatial information. Some have recently attempted to at l...
Andrea Vedaldi, Stefano Soatto
CVPR
2011
IEEE
14 years 8 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman