Computer Vision - ECCV ...: ... European Conference on Computer Vision ... : Proceedings, Volume 1Springer-Verlag, 1994 - Computer vision |
Contents
A common framework for multiple view tensors | 3 |
Pelillo K Siddiqi S W Zucker | 17 |
A Heyden | 19 |
Copyright | |
62 other sections not shown
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Common terms and phrases
2D camera 3D point algebraic algorithm applied approach bundle adjustment calibration camera matrices color regions colour colour constancy components Computer Vision CONDENSATION algorithm Conf conic contour corresponding curve database defined denote density depth described detection distance edge eigenvectors epipolar geometry epipole equations error estimate Euclidean extraction factor Faugeras Figure filter frame function fundamental matrix graph homography IEEE illumination image points image sequences intersection invariant iterative Kalman filter linear matching measure method minimization motion estimation motion model multiple view noise normal object obtained occlusions optical flow optimization parameters Pattern Recognition performed pixels planar motion plane position problem Proc projective projective transformation quadric quadrifocal tensor reconstruction representation robust rotation sampling scale scene self-calibration shape shown signature space spatial stereo structure structure from motion surface techniques texture three views tracking trajectories transformation trifocal tensor triplets values vector visual