Recovering light directions and camera poses from a single sphere

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5302 LNCS, Issue PART 1, 2008, Pages 631-642

  Wong, Kwan Yee K ^a   Schnieders, Dirk ^a   Li, Shuda ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER VISION; RECOVERY;

CLOSED FORM SOLUTIONS; LIGHT DIRECTION; MULTIPLE CAMERAS; RELATIVE ROTATION; SPECULAR HIGHLIGHT; SYNTHETIC AND REAL DATA; TRANSLATION VECTOR;

SPHERES;

EID: 56749163219     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88682-2_48     Document Type: Conference Paper

References (18)

1. Horn, B.K.P., Brooks, M.J.: Shape and source from shading. In: International Joint Conference on Artificial Intelligence, pp. 932-936 (1985)
2. Pentland, A.P.: Finding the illuminant direction. Journal of Optical Soc. of America 72(4), 448-455 (1982)
3. Ikeuchi, K., Sato, K.: Determining reflectance properties of an object using range and brightness images. IEEE Trans. on Pattern Analysis and Machine Intelligence 13(11), 1139-1153 (1991)
4. Zheng, Q., Chellappa, R.: Estimation of illuminant direction, albedo, and shape from shading. IEEE Trans. on Pattern Analysis and Machine Intelligence 13(7), 680-702 (1991)
5. Yang, Y., Yuille, A.L.: Sources from shading. In: Proc. Conf. Computer Vision and Pattern Recognition, pp. 534-539 (1991)
6. Zhang, Y.F., Yang, Y.H.: Multiple illuminant direction detection with application to image synthesis. IEEE Trans. on Pattern Analysis and Machine Intelligence 23(8), 915-920 (2001)
7. Takai, T., Niinuma, K., Maki, A., Matsuyama, T.: Difference sphere: An approach to near light source estimation. In: Proc. Conf. Computer Vision and Pattern Recognition, vol. I, pp. 98-105 (2004)
8. Wang, Y., Samaras, D.: Estimation of multiple directional light sources for synthesis of augmented reality images. Graphical Models 65(4), 185-205 (2003)
9. Debevec, P.: Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with gobal illumination and high dynamic range photography. In: Proc. ACM SIGGRAPH, pp. 189-198 (1998)
10. Powell, M.W., Sarkar, S., Goldgof, D.: A simple strategy for calibrating the geometry of light sources 23(9), 1022-1027 (September 2001)
11. Zhou, W., Kambhamettu, C.: Estimation of illuminant direction and intensity of multiple light sources. In: Proc. 7th European Conf. on Computer Vision, vol. IV, pp. 206-220 (2002)
12. Li, Y.Z., Lin, S., Lu, H.Q., Shum, H.Y.: Multiple-cue illumination estimation in textured scenes. In: Proc. 9th Int. Conf. on Computer Vision, pp. 1366-1373 (2003)
13. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
14. Horn, B.: Closed-form solution of absolute orientation using unit quaternions. Journal of Optical Soc. of America A 4(4), 629-642 (1987)
15. Fitzgibbon, A.W., Pilu, M., Fisher, R.B.: Direct least square fitting of ellipses. IEEE Trans. on Pattern Analysis and Machine Intelligence 21(5), 476-480 (1999)
16. Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. on Pattern Analysis and Machine Intelligence 22(11), 1330-1334 (2000)
17. Agrawal, M., Davis, L.S.: Camera calibration using spheres: a semi-definite programming approach. In: Proc. 9th Int. Conf. on Computer Vision, pp. 782-789 (2003)
18. Zhang, H., Wong, K.Y.K., Zhang, G.: Camera calibration from images of spheres. IEEE Trans. on Pattern Analysis and Machine Intelligence 29(3), 499-503 (2007)