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» Methods for Feature Detection in Point Clouds
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CVPR
2012
IEEE
11 years 11 months ago
Using scene features to improve wide-area video surveillance
We introduce two novel methods to improve the performance of wide area video surveillance applications by using scene features. First, we evaluate the drift in intrinsic and extri...
Ziyan Wu, Richard J. Radke
ICCV
2005
IEEE
14 years 2 months ago
High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps
We present a novel fully automatic method for high resolution, non-rigid dense 3D point tracking. High quality dense point clouds of non-rigid geometry moving at video speeds are ...
Yang Wang, Mohit Gupta, Song Zhang 0002, Sen Wang,...
ICIAR
2005
Springer
14 years 2 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 &...
AIPR
2007
IEEE
14 years 3 months ago
3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
Geometric structure of a scene can be reconstructed using many methods. In recent years, two prominent approaches have been digital photogrammetric analysis using passive stereo i...
Prudhvi Gurram, Stephen Lach, Eli Saber, Harvey E....
ECCV
2006
Springer
14 years 10 months ago
Machine Learning for High-Speed Corner Detection
Abstract Where feature points are used in real-time frame-rate applications, a high-speed feature detector is necessary. Feature detectors such as SIFT (DoG), Harris and SUSAN are ...
Edward Rosten, Tom Drummond