Linear and Incremental Acquisition of Invariant Shape Models From Image Sequences

We show how to automatically acquire Euclidian shape representations of objects from noisy image sequences under weak perspective. The proposed method is linear and incremental, requiring no more than pseudoinverse. A nonlinear, but numerically sound preprocessing stage is added to improve the accuracy of the results even further. Experiments show that attention to noise and computational techniques improves the shape results substantially with respect to previous methods proposed for ideal images. >

[1]  Ronen Basri,et al.  Recognition by Linear Combinations of Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  S. Ullman,et al.  The interpretation of visual motion , 1977 .

[3]  Daphna Weinshall,et al.  Linear and incremental acquisition of invariant shape models from image sequences , 1993, 1993 (4th) International Conference on Computer Vision.

[4]  C Tomasi,et al.  Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Daphna Weinshall.  Model-based invariants for 3D vision , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using orthonormal matrices , 1988 .

[7]  J J Koenderink,et al.  Affine structure from motion. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[8]  W. Eric L. Grimson,et al.  A Study of Affine Matching With Bounded Sensor Error , 1992, ECCV.

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

[10]  Daryl T. Lawton,et al.  Processing translational motion sequences , 1983, Comput. Vis. Graph. Image Process..

[11]  Allan D. Jepson,et al.  Visual Perception of Three-Dimensional Motion , 1990, Neural Computation.

[12]  Allen R. Hanson,et al.  Sensitivity of the pose refinement problem to accurate estimation of camera parameters , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[13]  Allen R. Hanson,et al.  Description and reconstruction from image trajectories of rotational motion , 1990, [1990] Proceedings Third International Conference on Computer Vision.