Computational Analysis of Visual Motion
Image 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.
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Image Motion in Visual Function
Some Basic Notions
Some Basic Notions
7 other sections not shown
algorithm Aloimonos Analysis and Machine angular invariance axis body of straight Bouthemy brightness pattern column matrix Computer Vision Conference on Computer depth detection determined displacement distance invariance dt dt Faugeras filters formulation function gradient equation Horn and Schunck Hough transform IEEE Transactions IEEE Workshop image brightness image motion image plane Image Processing Image Sequences incremental rigidity scheme instant International Conference interpretation isometry J. J. Gibson Jain Kalman Filter least-squares linear application linear equations lines in space Machine Intelligence matrix of coordinates method Mitiche motion boundaries motion detection Motion Estimation moving objects observed obtain optical flow optical velocities orientation orthogonal orthonormal matrix outliers Pattern Analysis Pattern Recognition problem Proceedings Proposition quadric rank(A rigid body robust rotation matrix Schunck segmentation solution spatial spatiotemporal stereopsis stereoscopic straight lines Structure from Motion T. S. Huang temporal three-dimensional tokens Transactions on Pattern Ullman variables velocity field Visual Motion Waxman