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» Improving Stereo Performance in Regions of Low Texture
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BCS
2008
14 years 11 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
CEAS
2006
Springer
15 years 1 months ago
Learning at Low False Positive Rates
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
Wen-tau Yih, Joshua Goodman, Geoff Hulten
ICIAR
2005
Springer
15 years 3 months ago
Enhanced Facial Feature Extraction Using Region-Based Super-Resolution Aided Video Sequences
Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
Turgay Çelik, Cem Direkoglu, Hüseyin &...
CVPR
2012
IEEE
13 years 1 days ago
Real-time scene text localization and recognition
An end-to-end real-time scene text localization and recognition method is presented. The real-time performance is achieved by posing the character detection problem as an efficie...
Lukas Neumann, Jiri Matas
PAMI
2011
14 years 4 months ago
Overcoming Shadows in 3-Source Photometric Stereo
—Light occlusions are one of the most significant difficulties of photometric stereo methods. When three or more images are available without occlusion, the local surface orien...
Carlos Hernández, George Vogiatzis, Roberto...