Acquiring height data from a single image of a face using local shape indicators

Computer Vision and Image Understanding

Volumn 103, Issue 1, 2006, Pages 64-79

  Castelán, Mario ^a   Hancock, Edwin R ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

3D Face reconstruction; Curvature based analysis; Gradient field integration; Shape from shading

Indexed keywords

CONSTRAINT THEORY; DATA REDUCTION; IMAGE ANALYSIS; LIGHTING; PROBLEM SOLVING; SURFACE PROPERTIES;

3D FACE RECONSTRUCTION; CURVATURE-BASED ANALYSIS; GRADIENT FIELD INTEGRATION; SHAPE-FROM-SHADING;

FACE RECOGNITION;

EID: 33646783259     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2006.03.001     Document Type: Article

References (36)

1. Atick J., Griffin P., and Redlich N. Statistical approach to shape from shading: reconstruction of three-dimensional face surfaces from single two-dimensional images. Neural Comput. 8 (1996) 1321-1340
2. Batlle J., Mouaddib E., and Salvi J. Recent progress in coded structured light as a technique to solve the correspondence problem: a survey. Pattern Recognit. 31 7 (1998) 963-982
3. Besl P.J., and Jain R.C. Invariant surface characteristics for 3-D object recognition in range images. Comput. Vision Graph. Image Process. 33 (1986) 33-80
4. Besl P. Active optical range imaging sensors. Adv. Mach. Vision (1989) 1-63 Chapter 1
5. F. Blais, A review of 20 years of range sensor development, in: Videometrics VII, SPIE Proc., vol. 5013, 2003, pp. 62-76.
6. Bors A.G., Hancock E.R., and Wilson R.C. Terrain analysis using radar shape-from-shading. IEEE Trans. Pattern Anal. Mach. Intell. 25 5 (2003)
7. R. Dovgard, R. Basri, Statistical symmetric shape from shading for 3D structure recovery of faces, European Conf. on Computer Vision (ECCV 04), Prague, May 2004.
8. Erens R.G.F., Kappers A.M.L., and Koenderink J.J. Perception of local shape from shading. Percept. Psychophys. 54 2 (1993) 145-156
9. Erens R.G.F., Kappers A.M.L., and Koenderink J.J. Estimating local shape from shading in the presence of global shading. Percept. Psychophys. 54 3 (1993) 334-342
10. Forsythe D., and Ponce J. Computer Vision: A Modern Approach (2001), Prentice-Hall, Englewood Cliffs, NJ
11. Frankot R.T., and Chellapa R. A method for enforcing integrability in shape from shading algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 10 4 (1988) 438-451
12. Georghiades A., Belhumeur D., and Kriegman D. From few to many: illumination cone models fro face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. (2001) 643-660
13. Horn B.K.P. Understanding image intensities. Artif. Intell. 8 (1977) 201-231
14. Horn B.K.P., and Brooks M.J. The variational approach to shape-from-shading. Comput. Vision Graph. Image Process. 33 (1986) 174-208
15. Horn B.K.P. Height and gradient from shading. Int. J. Comput. Vision 5 1 (1989) 37-75
16. Horn B.K.P., and Brooks M.J. Shape from shading (1989), MIT Press, Cambridge, MA
17. Jarvis R. A perspective on range finding techniques from computer vision. IEEE Trans. Pattern Anal. Mach. Intell. 5 2 (1983) 122-139
18. R. Klette, K. SChluns, Height data from gradient fields, in: Proc. Machine Vision Applications, Architectures, and Systems Integration, vol. 5, SPIE 2908, 1996, pp. 204-215.
19. Koenderink J.J., and Van Doorn A.J. Surface shape and curvature scales. Image Vision Comput. 10 (1992) 557-565
20. Koenderink J.J., and Van Doorn A.J. Surface perception in pictures. Perception Psychophys. 52 5 (1992) 487-496
21. Koenderink J.J., Van Doorn A.J., Christou C.G., and Lappin J.S. Perturbation study of shading in pictures. Perception 25 9 (1996) 1009-1026
22. Marr D. Vision (1982), W.H. Freeman, San Francisco
23. Y. Moses, Y. Adini, S. Ullman, Face recognition: the problem of compensating for changes in illumination direction, in: European Conference in Computer Vision, 1994, pp. 286-296.
24. E. Prados, O. Faugeras, A rigorous and realistic shape from shading method and some of its applications, in: INRIA Research Report, RR-5133, March 2004.
25. Robles-Kelly A., and Hancock E.R. A graph-spectral approach to shape-from-shading. IEEE Trans. Image Process. 13 7 (2004) 912-926
26. D. Scharstein, R. Szeliski, High-accuracy stereo depth maps using structured light, in: IEEE Proceedings on International Conference on Computer Vision and Pattern Recognition, 2003.
27. Shimshoni I., Moses Y., and Lindenbaum M. Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. Int. J. Comput. Vision 2 (2003) 1-15
28. Starks M. Stereoscopic imaging technology: review of patents and literature. Int. J. Virtual Reality 1 2 (1995) 2-25
29. V. Blanz, T. Vetter, A morphable model for the synthesis of 3D faces, in: Proceedings of SIGGRAPH '99, 1999, pp. 187-194.
30. Worthington P.L., and Hancock E.R. Needle map recovery using robust regularizers. Image Vision Comput. 17 8 (1998) 545-559
31. Worthington P.L., and Hancock E.R. New constraints on data-closeness and needle map consistency for shape-from-shading. IEEE Trans. Pattern Anal. Mach. Intell. 21 12 (1999) 1250-1267
32. Worthington P.L., and Hancock E.R. Object recognition using shape-from-shading. IEEE Trans. Pattern Anal. Mach. Intell. 23 5 (2001) 535-542
33. Wu Z., and Li L. A line-integration based method for depth recovery from surface normals. Comput. Vision Graph. Image Process. 43 (1988) 53-66
34. Zhang R., Tsai P.S., Cryer J.E., and Shah M. Shape from shading: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 21 8 (1999) 690-706
35. W. Zhao, R. Chellapa, Illumination-insensitive face recognition using symmetric shape-from-shading, in: Conference on Computer Vision and Pattern Recognition, 2000, pp. 286-293.
36. Zhao W.Y., and Chellapa R. Symmetric shape-from-shading using self-ratio image. Int. J. Comput. Vision 45 1 (2001) 55-75