Applications in Computer Vision
1. Image Processing (71 papers)
Image Analysis (1 paper)
Image Decomposition (4 papers)
Image Classification (1 paper)
lmage Composition (1 paper)
Image Colorization (1 paper)
Image Restoration and Denoising (10 papers)
Image Mosaicking (1 paper)
Image Alignment and Rectification (10 papers)
Image Fusion (3 papers)
Image Search (1 paper)
Image Retrieval (1 paper)
Texture (4 papers)
Face Alignement/Clustering/Recognition (10 papers)
Multi-focus Image (5 papers)
Multi-spectral Image (2 papers)
Hyperspectral Image Processing (10 papers)
Saliency Detection (5 papers)
Groupwise Image Registration (1 paper)
2. Video Processing (119 papers)
Change Detection (1 paper)
Crowd Visual Localization (1 paper)
Background Initialization (4 papers)
Background/Foreground Separation for Static RGB Cameras (5 papers)
Background/Foreground Separation for Static IR Cameras (2 papers)
Background/Foreground Separation for Static Multi-spectral Cameras (2 papers).
Background/Foreground Separation for Camera Traps (3 papers)
Background/Foreground Separation for Moving Cameras (7 papers)
Small Target Detection for Infrared Cameras (32 papers)
Hyperspectral Video Processing (33 papers)
Moving Target Detection (1 paper)
Motion Estimation (1 paper)
Motion Saliency Detection (1 paper)
Tracking (7 papers)
Video Coding (4 papers)
Video Denoising (5 papers)
Video Object Segmentation (3 papers)
Video Restoration (1 paper)
Video Summarization (1 paper)
Key Frame Extraction (1 paper)
Action Recognition (1 paper)
Event Detection (2 papers)
UHD Super Resolution Video (1 paper)
3. 3D Computer Vision (17 papers)
Structure from Motion (9 papers)
Motion Recovery (1 paper)
3D Reconstruction (5 papers)
3D Human Pose Recovery (1 paper)
Background/Foreground Separation for 3D (1 paper)
Author: Thierry BOUWMANS, Associate Professor, Lab. MIA, Univ. Rochelle, France.
Fair Use Policy
As this website gives many information that come from my research, please cite my following survey papers:
T. Bouwmans, A. Sobral, S. Javed, S. Jung, E. Zahzah, "Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset", Computer Science Review, Volume 23, pages 1-71, February 2017. [pdf]
T. Bouwmans, E. Zahzah, “Robust PCA via Principal Component Pursuit: A Review for a Comparative Evaluation in Video Surveillance”, Special Issue on Background Models Challenge, Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 22–34, May 2014. [pdf]
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