Statistical image analysis for pose estimation without point correspondences

Author:

Liu Yonghuai,Rodrigues Marcos A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. Correspondenceless stereo and motion: planar surfaces;Aloimonos;IEEE Trans. Pattern Anal. Machine Intell.,1990

2. Carceroni, R.L., Brown, C.M., 1997. Numerical methods for model-based pose recovery. Technical Report 659. Computer Science Department, The University of Rochester, Rochester, NY

3. The representation, recognition, and locating of 3-D objects;Faugeras;Internat. J. Robot. Res.,1986

4. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography;Fishler;Comm. ACM,1981

5. Govindu, V., Shekhar, C., Chellappa, R., 1998. Using geometric properties for correspondence-less image alignment. In: Proc. Internat. Conf. on Pattern Recognition, pp. 37–41

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