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1 - 15 of 15 search results for `B b cos` |u:mi.eng.cam.ac.uk

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  2. cipollaVSMM2004.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2004-VSMM-localisation.pdf
    13 Mar 2018: sin θy 0 cos θy. .  ,. (a) Registering a database view (b) Localising a query view. ... β =|Xr Xl|2|xr xl|2. θy = tan1Zr ZlXr Xl. Tw =. . . Xl β xl cos θyβ h. Zl β xl sin θy.

  3. cipollaVSMM2004.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2004-VSMM-localisation.pdf
    13 Mar 2018: sin θy 0 cos θy. .  ,. (a) Registering a database view (b) Localising a query view. ... β =|Xr Xl|2|xr xl|2. θy = tan1Zr ZlXr Xl. Tw =. . . Xl β xl cos θyβ h. Zl β xl sin θy.

  4. Reconstruction of Surfaces of Revolutionfrom Single Uncalibrated…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2002-BMVC-Wong-reconstruction.pdf
    13 Mar 2018: B =. . cos 2θ sin 2θ 2dl cos θ sin 2θ cos 2θ 2dl sin θ. ... ns = [cos θ. b sin θb 0]T. The resulting image is then rotated about the pointx0 until the axis of symme-try aligns with they-axis, and the transformation is

  5. Reconstruction of Surfaces of Revolutionfrom Single Uncalibrated…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2002-BMVC-Wong-reconstruction.pdf
    13 Mar 2018: B =. . cos 2θ sin 2θ 2dl cos θ sin 2θ cos 2θ 2dl sin θ. ... ns = [cos θ. b sin θb 0]T. The resulting image is then rotated about the pointx0 until the axis of symme-try aligns with they-axis, and the transformation is

  6. bmvc08.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-gesture-interface.pdf
    13 Mar 2018: Input. v2. u2. θ2. Online Update. P1. P2. Manifold Learning. θΣby cos i. ... b) the low-dimensional manifoldrepresentation allows matching that is both time and memoryefficient.

  7. bmvc08.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-gesture-interface.pdf
    13 Mar 2018: Input. v2. u2. θ2. Online Update. P1. P2. Manifold Learning. θΣby cos i. ... b) the low-dimensional manifoldrepresentation allows matching that is both time and memoryefficient.

  8. Epipolar geometry from profiles under circular motion - Pattern…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2001-PAMI-circular-motion.pdf
    13 Mar 2018: S 1cosÿ. ÿcos ÿ2 sin cos 2d cos ÿ2 sin cos cos 2d sin. ... transformation is further reduced to a bilateral symmetry,. given by. B ÿcos 2 ÿsin 2 2d cos ÿsin 2 cos 2 2d sin.

  9. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL.…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2003-PAMI-Wong.pdf
    13 Mar 2018: 0 0 cos(φ θ).  , (14). wheredl = u0 cos θ v0 sin θ. ... will then become abilateral symmetry, given by. B =. . cos 2θ sin 2θ 2dl cos θ sin 2θ cos 2θ 2dl sin θ.

  10. Epipolar geometry from profiles under circular motion - Pattern…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2001-PAMI-circular-motion.pdf
    13 Mar 2018: S 1cosÿ. ÿcos ÿ2 sin cos 2d cos ÿ2 sin cos cos 2d sin. ... transformation is further reduced to a bilateral symmetry,. given by. B ÿcos 2 ÿsin 2 2d cos ÿsin 2 cos 2 2d sin.

  11. ijrr

    mi.eng.cam.ac.uk/~cipolla/publications/article/1997-IJRR-divergence-deformation-report.pdf
    13 Mar 2018: divv = (ux vy) (3). curlv = (uy vx) (4). (defv) cos 2µ = (ux vy) (5). ... Z0(56). curlv = 23 (qU1 pU2). Z0(57). (defv) cos 2µ =(pU1 qU2).

  12. ijrr

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1997-IJRR-divergence-deformation-report.pdf
    13 Mar 2018: divv = (ux vy) (3). curlv = (uy vx) (4). (defv) cos 2µ = (ux vy) (5). ... Z0(56). curlv = 23 (qU1 pU2). Z0(57). (defv) cos 2µ =(pU1 qU2).

  13. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL.…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2003-PAMI-Wong.pdf
    13 Mar 2018: 0 0 cos(φ θ).  , (14). wheredl = u0 cos θ v0 sin θ. ... will then become abilateral symmetry, given by. B =. . cos 2θ sin 2θ 2dl cos θ sin 2θ cos 2θ 2dl sin θ.

  14. KL843-03.tex

    mi.eng.cam.ac.uk/~cipolla/publications/article/1999-IJCV-generalised-epipolar.pdf
    13 Mar 2018: 1B = cos(b1) sin(b1) b2sin(b1) cos(b1) b3. 0 0 1.  ,1C =.  c1 cos(c2) c1 sin(c2) c3c1 sin(c2) c1 cos(c2) c40 0 ... Figure 7. Rectification of uncalibrated images. (a) and (b): Thefigures show two images.

  15. KL843-03.tex

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1999-IJCV-generalised-epipolar.pdf
    13 Mar 2018: 1B = cos(b1) sin(b1) b2sin(b1) cos(b1) b3. 0 0 1.  ,1C =.  c1 cos(c2) c1 sin(c2) c3c1 sin(c2) c1 cos(c2) c40 0 ... Figure 7. Rectification of uncalibrated images. (a) and (b): Thefigures show two images.

  16. Structured Deep Neural Networks for Speech Recognition

    mi.eng.cam.ac.uk/~mjfg/thesis_cw564.pdf
    12 Jul 2018: regularisations on sigmoid stimulated DNNs. 1135.6 WSJ-SI84: Comparison of activation grid outputs of raw, KL, Cos and. ... That is, suppose a simple linear function is applied2:. φ(z) = W Tz b.

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