1 / 29

Light, Surface and Feature in Color Images

Light, Surface and Feature in Color Images. Lilong Shi Postdoc at Caltech Computational Vision Lab, Simon Fraser University. Topics. Color Constancy Surface Reflectance Model Feature Analysis. Light Surface Feature. Color Formation. sensor sensitivity. camera response.

esben
Télécharger la présentation

Light, Surface and Feature in Color Images

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Light, Surface and Featurein Color Images Lilong Shi Postdoc at Caltech Computational Vision Lab, Simon Fraser University

  2. Topics Color Constancy Surface Reflectance Model Feature Analysis

  3. Light Surface Feature Color Formation sensor sensitivity camera response Illum. power distribution reflectance spectral

  4. Light Surface Feature Color Constancy

  5. Light Surface Feature Automatic White Balance AWB Canonical

  6. Light Surface Feature Color Constancy Methods = • Retinex Theory (McCann64) • MaxRGB/White-Patch (Land77): max(R) • Gray-World (Buchsbaum80): mean(R) • Shades-of-Gray (Finlayson04): [mean(Rp)]1/p • Gray-Edge Hypothesis (Weijer07): mean(edge(R)) • Non-Negative Matrix Factorization (Shi07)

  7. Light Surface Feature Color Constancy Methods Gamut Mapping (Forsyth90) Color by Correlation (Finlayson01) Neural Network (Cardei02) Support Vector Regression (Xiong06) Thin Plate Spline (Shi11)

  8. Light Surface Feature Color Constancy Methods Classification-based (Bianco09) Scene-based (Gijsenij11)

  9. Light Surface Feature Color Constancy Evaluation

  10. Light Surface Feature Blackbody Radiator Lights Tungsten lamps, sunrise/sunset, sky light Planckianlocus Narrowband sensors

  11. Light Surface Feature Surface Reflectance Model LIS Coordinate (Finlayson 01)

  12. Light Surface Feature Achromatic Surface Gray Surface Detection in LIS

  13. Light Surface Feature Skin Color Model length in epidermis/dermis absorbance of other material pigment density absorbance Skin: melanin + hemoglobin Skin Reflectance (Hiraoka et al 93) Under blackbody illumination

  14. Light Surface Feature Skin Color Locus • Linear model • m is melanin basis, • h is hemoglobin basis, • is blackbody radiator basis, • cis a constant vector

  15. Light Surface Feature Skin Tone Correction 16 different illum + camera calibrations Tone correction Preserve melanin Even simpler model:

  16. Light Surface Feature Features Textures, edges, corner, blobs, etc.. Colors Integrated by Quaternion

  17. Light Surface Feature Quaternion Real, complex, quaternion (q = a + bi + cj + dk) Non-commutative (pq ≠ qp) Convolution, Correlation, Fourier, Wavelet, etc SVD, EVD, PCA

  18. QPCA Image-specific quaternion texture basis Light Surface Feature Texture Feature Extraction Sampled sub-windows

  19. 1st QPCA Basis Light Surface Feature Texture Feature Extraction T Single quaternion  A texture patch

  20. Light Surface Feature Texture Feature 1st Feature

  21. Light Surface Feature Segmentation Quaternion Hoang(05)

  22. Light Surface Feature Segmentation

  23. Light Surface Feature Color Curvature ?

  24. Light Surface Feature Iso-luminance Color -> Gray Cancellation in combining +/- derivatives

  25. 1 1 λ2 λ2 e2 e2 e1 e1 Light Surface Feature Hessian Descriptor eigenvectors: (e1, e2 ) eigenvalues: |1|<|2| 2nd order local shape Principle Curvature

  26. Light Surface Feature Curvature • Tubular, vessel-like structures [Frangi98] • With eigen-values • blobness: • backgroundness: • vesselness: R and S • Gray image, 2 λ’s; RGB image, 6λ’s

  27. Light Surface Feature Color Curvature Quaternion-valued Hessian QSVD on H2 real singular values

  28. Light Surface Feature Curvature Detection Frangi Quaternion

  29. Light Surface Feature Future Works Content-based color constancy Color blob/points detection Possibilities …

More Related