A quick 3D-to-2D points matching based on the perspective projection

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

Volumn 5358 LNCS, Issue PART 1, 2008, Pages 634-645

  Gu, Songxiang ^a   Lindsay, Clifford ^a   Gennert, Michael A ^a,b   King, Michael A ^b  

^a WORCESTER POLYTECHNIC INSTITUTE   (United States)

^b UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

Calibration; Convex hull; Horizon; Residual error

Indexed keywords

CONVEX HULL; HORIZON; MATCHING ALGORITHM; PERSPECTIVE PROJECTIONS; POINT SET; POINT-MATCHING; RESIDUAL ERROR; SEARCH SPACES; VALIDATION METHODS;

CALIBRATION; COMPUTER SCIENCE; GEOMETRY; THREE DIMENSIONAL;

SET THEORY;

EID: 68649109581     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89639-5_61     Document Type: Conference Paper

References (18)

1. Gennert, M.A., Bruyant, P.P., Narayanan, M.V., King, M.A.: Calibrating optical images and gamma camera images for motion detection. In: Proc. Soc. Nuclear Medicine 47th Ann. Mtg. (2002)
2. Linnainmaa, S., Harwood, D., Davis, L.S.: Pose determination of a three-dimensional object using triangle pairs. IEEE Trans. Pattern Anal. Mach. Intell. 10, 634-647 (1988)
3. Lenz, R.K., Tsai, R.Y.: Techniques for calibration of the scale factor and image center for high accuracy 3-d machine vision metrology. IEEE Trans. Pattern Anal. Mach. Intell. 10, 713-720 (1988)
4. Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. Radiometry, 221-244 (1986)
5. Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. of the ACM 24 (1981)
6. Rusinkiewicz, S., Levoy, M.: Efficient variants of the icp algorithm. 3DIM, 145 (2001)
7. Fitzgibbon, A.: Robust registration of 2d and 3d point sets, vol. 2, pp. 411-420 (2001)
8. Goshtasby, A., Stockman, G.C.: Point pattern matching using convex hull edges. IEEE Trans. on Systems, Man and Cybernetics SCM-15(5), 631-637 (1985)
9. Cyr, C.M., Kamal, A.F., Sebastian, T.B., Kimia, B.B.: 2d-3d registration based on shape matching. In: MMBIA 2000: Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, p. 198. IEEE Computer Society, Los Alamitos (2000)
10. Kita, Y., Kita, N., Wilson, D.L., Noble, J.A.: A quick 3d-2d registration method for a wide-range of applications. Inter. Conf. on Pattern Recognition 01, 1981 (2000)
11. Kurazume, R., Nishino, K., Zhang, Z., Ikeuchi, K.: Simultaneous 2d images and 3d geometric model registration for texture mapping utilizing reflectance attribute. In: ACCV: The 5th Asian Conference on Computer Vision (2002)
12. Berg, M., Kreveld, M., Overmars, M., Schwarzkopf, O.: Computational Geometry-Algorithm and Applications, 2nd edn. (2000)
13. Weisstein, E.W.: Convex hull (From MathWorld-A Wolfram Web Resource)
14. Yao, A.C.C.: A lower bound to finding convex hulls. J. ACM 28, 780-787 (1981)
15. Barber, C.B., Dobkin, D.P., Huhdanpaa, H.: The quickhull algorithm for convex hulls. ACM Trans. Math. Softw. 22, 469-483 (1996)
16. Skiena, S.: Convex hull. 8.6.2 in The Algorithm Design Manual, 351-354 (1997)
17. O'Rourke, J.: Computational geometry in C (1994)
18. Preparata, F.P., Shamos, M.I.: Computational geometry: an introduction. Springer, New York (1985)