Computational Analysis of Visual MotionImage motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. Author Amar Mitiche offers a comprehensive mathematical treatment of this key subject in visual systems research. Mitiche examines the interpretation of point correspondences as well as the interpretation of straight line correspondences and optical flow. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation. |
Contents
Image Motion in Visual Function | 1 |
Interpretation of Point Correspondences | 4 |
Detection Computation and Segmentation of Visual Motion | 8 |
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Algorithm Aloimonos Analysis and Machine angular invariance body of straight column matrix Computer Vision Conference on Computer configurations constraint coordinate system depth determined displacement distance invariance Faugeras final position gradient equation H₁ IEEE Transactions IEEE Workshop image brightness image coordinates image motion image plane Image Processing Image Sequences incremental rigidity scheme instant interpretation isometry J. J. Gibson J. K. Aggarwal least-squares linear application linear equations lines in space Longuet-Higgins Machine Intelligence matrix of coordinates Mitiche motion boundaries Motion Estimation Motion Parameters N₁ observed obtain optical flow optical velocities orientation orthogonal orthonormal matrix outliers P₁ Pattern Analysis Pattern Recognition problem Proceedings Proposition quadric R₁ rank(A rigid body robust rotation matrix S1 and S2 Schunck solution spatial stereopsis stereoscopic straight lines Structure from Motion T. S. Huang three views Transactions on Pattern translational component U₁ Ullman unknowns Visual Motion Waxman