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Y. Wu, S.S. Iyengar, R. Jain, S. Bose, "A New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 10, pp. 961975, October, 1994.  
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@article{ 10.1109/34.329012, author = {Y. Wu and S.S. Iyengar and R. Jain and S. Bose}, title = {A New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {16}, number = {10}, issn = {01628828}, year = {1994}, pages = {961975}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.329012}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
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TY  JOUR JO  IEEE Transactions on Pattern Analysis and Machine Intelligence TI  A New Generalized Computational Framework for Finding Object Orientation Using Perspective Trihedral Angle Constraint IS  10 SN  01628828 SP961 EP975 EPD  961975 A1  Y. Wu, A1  S.S. Iyengar, A1  R. Jain, A1  S. Bose, PY  1994 KW  computer vision; generalized computational framework; object orientation; perspective trihedral angle constraint; threedimensional 3D object; single perspective image view; Kanatani's formulation; closed form solution; general analytic technique; shape from inverse perspective projection; angle to angle correspondence information; simulation experiments; noise; synthetic data; noisy environment VL  16 JA  IEEE Transactions on Pattern Analysis and Machine Intelligence ER   
This paper investigates a fundamental problem of determining the position and orientation of a threedimensional (3D) object using a single perspective image view. The technique is focused on the interpretation of trihedral angle constraint information. A new closed form solution based on Kanatani's formulation is proposed. The main distinguishing feature of the authors' method over the original Kanatani formulation is that their approach gives an effective closed form solution for a general trihedral angle constraint. The method also provides a general analytic technique for dealing with a class of problem of shape from inverse perspective projection by using "angle to angle correspondence information." A detailed implementation of the authors' technique is presented. Different trihedral angle configurations were generated using synthetic data for testing the authors' approach of finding object orientation by angle to angle constraint. The authors performed simulation experiments by adding some noise to the synthetic data for evaluating the effectiveness of their method in a real situation. It has been found that the authors' method worked effectively in a noisy environment which confirms that the method is robust in practical application.
[1] R. M. Haralick, "Monocular vision using inverse perspective projection geometry: analytic relations," inProc. IEEE Conf. CVPR, 1889, pp. 370378.
[2] P. G. Mulgaonkar, L. G. Shapiro, and R. M. Haralikc, "Shape from perspective: A rule based approach,"CVGIP, vol. 36, pp. 298320, 1989.
[3] K. Kanatani, "Constraints on length and angle,"Comput. Vision Graphics Image Processing, vol. 41, pp. 2842, 1988.
[4] S. T. Barnard, "Choosing a basis for perceptual space,"CVGIP, vol. 29, pp. 8799, 1985.
[5] T. Shakunaga and H. Kaneko, "Shape from angles under perspective projection," inProc. 2nd Int. Conf. Comput. Vision(Tampa, FL), 1988.
[6] T. Kanade, "Recovery of the threedimensional shape of an object from a single view,"Artificial Intell. J., vol. 17, pp. 409460, 1981.
[7] R. Horaud, "New methods for matching 3D objects with single perspective views,"IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI9, pp. 401412, May 1987.
[8] M. A. Fischler and R. C. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,"Commun. ACM, vol. 24, no. 6, pp. 381395, 1981.
[9] S. Linnainma, D. Harwood, and L. S. Davis, "Pose determination of a threedimensional object using triangle pairs,"IEEE Trans. Pattern Anal. Machine Intell., vol. 10, no. 5, pp. 634646, 1988.
[10] D. G. Lowe, "Threedimensional object recognition from single twodimensional images,"Artificial Intell., vol. 31, 1987.
[11] R. Horaud, B. Conio, O. Leboulleux, and B. Lacolle, "An analytical solution for the perspective fourpoint problem,"Comput. Vision Graphics Image Processing, vol. 47, pp. 3344, 1989.
[12] M. Dhome, M. Richetin, J.T. Lapreste, and G. Rives, "Determination of the attitude of 3D objects from a single perspective view,"IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 12651278, 1989.
[13] H. H. Chen, "Pose determination from linetoplane correspondences: Existence condition and closedform solutions," inProc. 3rd Int. Conf. Computer Vision, Tokyo, Japan, 1990, pp. 374378.
[14] R. M. Haralick,et al., "Pose estimation from corresponding point data,"IEEE Trans. Syst., Man, Cybern., vol. 19, no. 6, pp. 14261446, 1989.
[15] K. Kanatani,Geometric Computation for Machine Vision. Oxford: Oxford Univ. Press, 1993.
[16] Y. Wu, S. S. Iyengar, R. Jain, and S. Bose, "Shape from perspective trihedral angle constraint," inProc. IEEE Conf. Comput. Vision Pattern Recognit., 1993, pp. 261266.