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» Automatic feature localisation with constrained local models
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VMV
2001
101views Visualization» more  VMV 2001»
13 years 8 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
ICIP
2003
IEEE
14 years 23 days ago
Facial feature extraction using topological methods
Automatic facial feature extraction is one of the most important and attempted problems in computer vision. It is a necessary step in face recognition, facial image compression an...
A. Gunduz, Hamid Krim
ICCV
2007
IEEE
14 years 9 months ago
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. ...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
ICASSP
2009
IEEE
14 years 2 months ago
Audio segmentation for speech recognition using segment features
Audio segmentation is an essential preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition performance. We introduce a no...
David Rybach, Christian Gollan, Ralf Schlüter...
CVPR
2009
IEEE
15 years 2 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...