Geometric and other image features and methods

A part of the CVonline computer vision resource summarizing different types of features that can be extracted from images.

1. Compressed image feature extraction

   1. Camera motion estimation

   2. Color Distributions/Descriptors

   3. Edge detection in compressed images

   4. Salient Points

   5. Texture descriptors from compressed images

2. Connected-component labeling

3. Corner and interest point feature detectors and descriptors

• 1. The level curve curvature approach

  2. Aggregate channel features/Integral channel features

  3. BRIEF (Binary Robust Independent Elementary Features)

  4. BRISK: Binary Robust Invariant Scalable Keypoints

  5. COSfire: Combination Of Shifted FIlter REsponses

     1. DAISY: A Fast Local Descriptor for Dense Matching

  6. FAST: Features from the Accelerated Segment Test

  7. FREAK - Fast Retinal Keypoint descriptors

  8. Forstner operator

  9. Haralick operator

  10. Harris/Plessey Corner Finder

• • 1. Harris affine

    2. Harris laplace

• 11. Histogram of Optical Flow

  12. Histogram of oriented gradients . HOG features

  13. KAZE

  14. LIFT - Learned Invariant Feature Transform

  15. Moravec operator

  16. Motion boundary histogram

  17. ORB features (Oriented FAST and Rotated BRIEF)

  18. Shape context, Histogram of Shape Context (HoSC)

  19. Shearlet

  20. Shi-Tomasi corners

  21. SIFT: Scale-Invariant Feature Transform

• • 1. David Lowe's method

    2. OpponentSIFT

• 22. Speeded Up Robust Features (SURF)

  23. SUSAN corner detector

  24. Wavelet-Based salient point detection

4. Curve fitting/Local curvature estimation

• 1. Circle fitting

  2. Curve smoothing

  3. Ellipse fitting

  4. Hyperbola fitting

5. Edge detection and enhancement

• 1. Adaptive edge detection

  2. Canny edge detector

  3. Color edge detectors

  4. Edge types

     1. Edge type labelling

  5. Energy function based edge detectors

  6. Evaluation of edge detectors

• • 1. Kadir–Brady saliency detector evaluation

    2. Hessian affine region detector evaluation

• 7. Extended edge detection

  8. First derivative, Gradient edge detection

  9. High-pass filter edge enhancement

  10. Hueckel and other parametric fitting edge detectors

  11. Kirsch compass edge detector

  12. Marr–Hildreth, Laplacian of Gaussian, Zero crossing, Difference of Gaussians

  13. Moving edge detection

  14. Multi-dimension edge detection

  15. Multi-scale edge detectors

  16. Optimal edge detectors (see also Canny edge detector)

  17. Sobel operator and more rotationally symmetric Scharr operator

  18. Prewitt operator

  19. Range/Depth image edge detectors

  20. Roberts Cross edge detector

  21. Robinson edge detector

  22. Second derivative operators

• • 1. Laplace operator

    2. The Laplacian of Gaussian

    3. Difference of Gaussians

• 23. Subpixel edge detection (See Subpixel methods)

  24. Walsh function

6. Edge/line/Contour feature following, grouping, linking and tracking

• 1. Pixel connectivity

  2. Contour tracking

  3. Dynamic programming

  4. Edge thresholding and linking

  5. Graph search

  6. Hough transform

  7. Hysteresis tracking

  8. Paired boundaries, Paired contours

  9. Edge relaxation

  10. Search trees

  11. Subjective/Illusory contours

      1. Stochastic completion fields

7. Global structure extraction

• 1. Ribbons

  2. Interest point detection

  3. Symmetry lines, Symmetry planes

8. Feature histograms

• 1. Histogram analysis

  2. Multi-dimensional feature histograms

  3. Pairwise histograms

9. Image descriptors

• 1. Color layout descriptor

  2. Color structure descriptor

  3. Differential invariant

  4. Edge histogram descriptor

  5. MPEG-7 descriptors

  6. Radon Bar Codes

  7. Visual descriptors

10. Line detection

• 1. Image Ridges for Line Detection

11. Feature mensuration

• 1. Scene object size estimation

  2. Subpixel/Superresolution Methods (See Subpixel methods)

12. Model-based feature detection/segmentation

• 1. Mumford-Shah Functional

     1. Ambrosio and Tortorelli functional

13. Object Detection

• 1. Object proposals

  2. Stereo object proposals

14. Point or Pixel descriptions (See also Classification transforms)

• 1. Bar, line points

  2. Blob/center-surround points

  3. Convolutional Neural Networks

  4. Gabor filters

     1. Log-Gabor filters

  5. Gaussian derivatives and the notion of a visual front-end

  6. Receptive fields

  7. Semantic texton forests

  8. Steerable pyramids

15. Primal sketch

16. Blob and region detection

• 1. Bayesian network methods

  2. Chroma keying

  3. Facet detection

  4. Maximally stable extremal regions

  5. Region boundary extraction

  6. Superpixels (wiktionary)

     1. SLIC

     2. Stixels

     3. Temporal superpixels

  7. Texture-based region detection

17. Region detection methods

• 1. Divide and conquer

  2. Region based, Model based segmentation

  3. Recursive splitting

     1. Implicit k-d tree

  4. Region growing

  5. Scale-space segmentation

  6. Split and merge

  7. Thresholding

  8. Watersheds of gradient magnitude

  9. Waterfall segmentation hierarchy

18. Ridge and valley detection

19. Hidden surface determination

20. Skew analysis and estimation

21. Spatial relationship detection

• 1. Collinearity

  2. Coplanarity

  3. Intersection/Cotermination

  4. Relative orientation

22. Spatio-temporal descriptors

• 1. 3D-SIFT

  2. Cuboid

  3. ESURF

  4. HOG3D

  5. Motion History Image/Motion Energy Images

  6. Supervoxel

23. Special feature extraction

• 1. Focus of expansion

  2. Ground plane

  3. Horizon detection

  4. Occluding contour detection

  5. Vanishing point

24. Structure tensor

25. Surface patches in volumes

• 1. Optimal surface detection

  2. Zucker-Hummel surface detection operator

26. Surface segmentation from 2 1/2D or 3D data (see also range segmentation)

• 1. Curvature-based surface patch detection

  2. Cylinder/Tubular structure detection

  3. Planar facet/triangulation patch detection

     1. Marching cubes

     2. Marching tetrahedrons

     3. Surface fitting

  4. Planar surface models

  5. Surface clustering/grouping

  6. Reeb graph

  7. Surface discontinuity detection

• • 1. Curvature discontinuity detection

    2. Depth discontinuity detection

    3. Surface Orientation discontinuity detection

• 8. Surface fitting/Region growing

• • 1. Cylinder patch extraction

    2. Range data based region extraction

    3. Quadric fitting

    4. Surface shape classification

• 9. Surface shape parameter estimation

• • 1. Cylinder extraction

    2. Ellipsoid/Sphere

    3. Free-Form Surface

       1. Dual surface thin shell fitting

    4. Detection of 3D objects (Planes and cylinders)

    5. Quadric

    6. Torus

• 10. Surface Triangulation

27. Surface shape (Shape-from-X methods)

• 1. Shape from Contours/Silhouettes

  2. Shape from defocus

  3. Shape from focus

  4. Shape from geometric constraints

  5. Shape from multimodal integration

  6. Shape from line drawings

  7. Monocular depth cues

  8. Structure from motion

  9. Shape from multiple sensors

  10. Shape from perspective

  11. Shape from photo-consistency

  12. Shape from photometric Stereo

  13. Shape from polarization

  14. Shape from shadows

  15. Shape from specularities

  16. Shape from structure light

  17. Shape from texture

28. Image texture

• 1. Texture boundary detection

  2. Texture classification

  3. Color texture

  4. Fourier descriptors

  5. Hierarchical textures

  6. Shape texture/surface roughness characterization

  7. Structural/syntactic texture representations

  8. Statistical texture representations

     1. Binarized Statistical Image Features (BSIF)

     2. Co-occurrence matrix (texture)

     3. Edge frequency

     4. Law's texture energy measures

     5. Filter-based descriptors

     6. Fractal analysis

        1. Hausdorff measure

     7. Local binary patterns

     8. Local phase quantization

     9. Local ternary patterns

     10. Markov random fields

     11. Moments of intensity

     12. Run-length encoding

     13. Spatial frequency

  9. Texels

• • 1. Texon/Texel invariants and representations

• 10. Texture gradients/Directions/Oriented patterns

  11. Wavelet-based texture descriptors

29. Topological image description

30. Visual routines, empirical feature detectors

31. Volume detection

• 1. Voxel-based morphometry

  2. Generalized cylinder detection

  3. Superquadric detection

32. Wavelet moment invariants

    2. 1. Daubechies wavelet