Prediction, Image

Estimated reading time: 2 minutes

General 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++
    • 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
    • A. Alahi, R. Ortiz, and P. Vandergheynst, “FREAK: Fast Retina Keypoint”, CVPR 2012
    • 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
Optical Flow
Image Denoising


Material Recognition

Visual Tracking

Visual Surveillance

Saliency Detection

Change detection

Visual Recognition

Image Classification
Scene Recognition
Object Detection
Semantic labeling
Multi-view Object Detection
Fine-grained Visual Recognition
Pedestrian Detection

On to Part 6 »

classification, detection, segmentation, extraction, image, deep, keras, concepts