Computer Vision – ACCV 2006: 7th Asian Conference on by Edmond Boyer (auth.), P. J. Narayanan, Shree K. Nayar,

By Edmond Boyer (auth.), P. J. Narayanan, Shree K. Nayar, Heung-Yeung Shum (eds.)

Welcometothe7thAsianConferenceonComputerVision.Itgivesusgreatpl- certain to bring about its court cases. ACCV has been making its rounds in the course of the Asian panorama and got here to India this yr. we're happy with the technical software now we have prepare and we are hoping you get pleasure from it. curiosity in laptop imaginative and prescient is expanding and ACCV 2006 attracted approximately 500 submission. The review crew consisted of 27 specialists serving as zone Chairs and approximately 270 reviewers in all. the complete method was once carried out electronically in a double-blind manner,a ?rstfor ACCV. Eachpaper wasassignedto a space Chair who came upon 3 efficient reviewers for it. We have been in a position to include the utmost load at the reviewers to 9 and the common load to below six. The evaluate shape had area for qualitative and quantitative overview of the paper on 9 points. The submitted studies underwent an intricate strategy. First, they have been obvious by means of the realm Chair, who resolved divergences of opinion between reviewers, if any. the world Chair then wrote qualitative reviews and a quantitative ranking besides his/her preliminary suggestion at the paper. those have been checked out via software Co-chairs and compiled right into a probables record. the realm Chairs and software Co-chairs met in Beijing in the course of ICCV to debate this checklist and arrivedat the ?nal record of sixty four oral papers and 128 posters. clearly, many deserving papers couldn't be accommodated.

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Additional info for Computer Vision – ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006. Proceedings, Part I

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Figure 3 depicts for instance a few situations where the epipolar line of a ray intersects the silhouette, though the ray does not intersect the viewing cone. These situations occur because no distinction is made between front and back of rays. 4. It should be finite in general so that situations in figure 3 can be differentiated. 6 E. Boyer ray viewing cone section Fig. 3. A ray and the cross-section of the viewing cone in the corresponding epipolar plane. 3 of the situations where unoriented epipolar geometry will fail and detect intersections.

Consequently, the constraints (4) can be put in the matrix form: x1 x2 Hj ωj Hj x1 x2 ∼ I2×2 . (7) We now highlight an interesting decomposition of the ICDCP matrix C∗ . Basically, our aim is to put into equation the fact that the degenerate conic C∗ consists of the two points at which the vanishing line v meets the IAC ω. Since the AC is a circle on the plane at infinity, these two points are the ICP. Proposition 1. The ICDCP matrix satisfies the following decomposition: C∗ ∼ [v]× ω [v]× , (8) where ω is the IAC matrix and v is the vanishing line vector.

Of the ECCV. , Dublin, Ireland (2000) 610–624 6. : Methods and Geometry for Plane-Based Self-Calibration. In: Proc. of the CVPR. , Madison, Wisconsin, USA (2003) 491–496 7. : Circular Motion Geometry Using Minimal Data. IEEE Trans. on PAMI 26 (2004) 721–731 8. : Linear Auto-Calibration for Ground Plane Motion. In: Proc. of the CVPR, Madison, Wisconsin, USA (2003) 503–510 9. Neumaier, A. In: Introduction to Numerical Analysis. Cambridge University Press (2001) 10. W. In: Global Optimization Using Interval Analysis.

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