Complete structure and motion from two monocular sequences without stereo correspondence

It is demonstrated that the motion and structure of rigidly moving objects can be completely determined from two monocular image sequences using only temporal matches. Three aspects of this scheme are useful: since stereo matching is not necessary, two cameras can view totally different parts of the rigid scene; as temporal disparity is usually significantly smaller than stereo disparity, matching needs only to deal with relatively small disparities; the recoverable scene structure is defined by the union of the fields of view of two cameras instead of the intersection, and so is much larger than that of a conventional stereo setup. Experiments with synthesized data and real world images are presented to demonstrate the feasibility of this scheme.<<ETX>>

[1]  Juyang Weng,et al.  Calibration of stereo cameras using a non-linear distortion model (CCD sensory) , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[2]  Juyang Weng,et al.  A theory of image matching , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[3]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[4]  Narendra Ahuja,et al.  Motion and Structure From Two Perspective Views: Algorithms, Error Analysis, and Error Estimation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Thomas S. Huang,et al.  Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Narendra Ahuja,et al.  Optimal Motion and Structure Estimation , 1993, IEEE Trans. Pattern Anal. Mach. Intell..