Search
Selected: S

Signature Region of Interest using Auto cropping

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Similarity of Objects and the Meaning of Words

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Simple method to eliminate blur based on Lane and Bates algorithm

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Simultaneous Bayesian inference of motion velocity fields and probabilistic models in successive video-frames described by spatio-temporal MRFs

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Simultaneous Object Detection, Tracking, and Event Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Single Frame Image super Resolution using Learned Directionlets

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Single Reduct Generation Based on Relative Indiscernibility of Rough Set Theory

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Skin-color based videos categorization

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Skull-stripping for Tumor-bearing Brain Images

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sliding window approach based Text Binarisation from Complex Textual images

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Some Aspects of Testing Process for Transport Streams in Digital Video Broadcasting

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Space and camera path reconstruction for omni-directional vision

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sparse Component Analysis (SCA) in Random-valued and Salt and Pepper Noise Removal

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sparse motion segmentation using multiple six-point consistencies

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sparse Online Low-Rank Projection and Outlier Rejection (SOLO) for 3-D Rigid-Body Motion Registration

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sparse Subspace Clustering: Algorithm, Theory, and Applications

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sparsity and Robustness in Face Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Sparsity and `Something Else': An Approach to Encrypted Image Folding

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Spatial Features for Multi-Font/Multi-Size Kannada Numerals and Vowels Recognition

Computer Science – Computer Vision and Pattern Recognition
Scientific paper

  [ 0.00 ] – not rated yet Voters 0   Comments 0
  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.