Sciweavers

1088 search results - page 82 / 218
» Robust Principal Component Analysis for Computer Vision
Sort
View
CVPR
2009
IEEE
15 years 2 months ago
CHoG: Compressed histogram of gradients A low bit-rate feature descriptor
Establishing visual correspondences is an essential component of many computer vision problems, and is often done with robust, local feature-descriptors. Transmission and storage ...
Vijay Chandrasekhar, Gabriel Takacs, David M. Chen...
CVPR
2007
IEEE
16 years 8 days ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
ICPR
2004
IEEE
15 years 11 months ago
An Undecimated Wavelet Transform Based Denoising, PPCA Based Pulse Modeling and Detection-Classification of PD Signals
Authors Address the problem of recognition and retrieval of relatively weak industrial signal such as Partial Discharges (PD) buried in excessive noise. The major bottleneck being...
Pradeep Kumar Shetty, T. S. Ramu
85
Voted
ICPR
2002
IEEE
15 years 11 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
85
Voted
ECCV
2008
Springer
16 years 4 days ago
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys