Prediction, Image
Estimated reading time: 2 minutesGeneral Packages
Feature Detection and Extraction
- VLFeat
- SIFT
- David G. Lowe, “Distinctive image features from scale-invariant keypoints,” International Journal of Computer Vision, 60, 2 (2004), pp. 91-110.
- SIFT++
- BRISK
- Stefan Leutenegger, Margarita Chli and Roland Siegwart, “BRISK: Binary Robust Invariant Scalable Keypoints”, ICCV 2011
- SURF
- Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool, “SURF: Speeded Up Robust Features”, Computer Vision and Image Understanding (CVIU), Vol. 110, No. 3, pp. 346–359, 2008
- FREAK
- A. Alahi, R. Ortiz, and P. Vandergheynst, “FREAK: Fast Retina Keypoint”, CVPR 2012
- AKAZE
- Pablo F. Alcantarilla, Adrien Bartoli and Andrew J. Davison, “KAZE Features”, ECCV 2012
- Local Binary Patterns
High Dynamic Range Imaging
Semantic Segmentation
Low-level Vision
Stereo Vision
- Middlebury Stereo Vision
- The KITTI Vision Benchmark Suite
- LIBELAS: Library for Efficient Large-scale Stereo Matching
- Ground Truth Stixel Dataset
Optical Flow
- Middlebury Optical Flow Evaluation
- MPI-Sintel Optical Flow Dataset and Evaluation
- The KITTI Vision Benchmark Suite
- HCI Challenge
- Coarse2Fine Optical Flow - Ce Liu (MIT)
- Secrets of Optical Flow Estimation and Their Principles
- C++/MatLab Optical Flow by C. Liu (based on Brox et al. and Bruhn et al.)
- Parallel Robust Optical Flow by Sánchez Pérez et al.
Image Denoising
BM3D, KSVD,
Material Recognition
Visual Tracking
- Visual Tracker Benchmark
- Visual Tracker Benchmark v1.1
- VOT Challenge
- Princeton Tracking Benchmark
- Tracking Manipulation Tasks (TMT)