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Projective

  • Projective reconstruction

    Projective reconstruction

    標簽: reconstruction Projective

    上傳時間: 2013-11-30

    上傳用戶:來茴

  • opengl Projective transformations

    opengl Projective transformations

    標簽: transformations Projective opengl

    上傳時間: 2014-01-14

    上傳用戶:gundamwzc

  • The goal of this project is to explore the idea of point-based radiosity, which is a shooting radio

    The goal of this project is to explore the idea of point-based radiosity, which is a shooting radiosity technique suggested by Mark Harris at UNC. The primary idea is that features available in graphics hardware can be utilized to perform radiosity calculations. Facilities such as flat shading, diffuse lighting, Projective textures, and mipmapping can be used to replace traditional numerical solutions for radiosity.

    標簽: point-based radiosity shooting explore

    上傳時間: 2015-08-24

    上傳用戶:change0329

  • We present a particle filter construction for a system that exhibits time-scale separation. The sep

    We present a particle filter construction for a system that exhibits time-scale separation. The separation of time-scales allows two simplifications that we exploit: i) The use of the averaging principle for the dimensional reduction of the system needed to solve for each particle and ii) the factorization of the transition probability which allows the Rao-Blackwellization of the filtering step. Both simplifications can be implemented using the coarse Projective integration framework. The resulting particle filter is faster and has smaller variance than the particle filter based on the original system. The convergence of the new particle filter to the analytical filter for the original system is proved and some numerical results are provided.

    標簽: construction separation time-scale particle

    上傳時間: 2016-01-02

    上傳用戶:fhzm5658

  • The problem of image registration subsumes a number of problems and techniques in multiframe image

    The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D Projective scene geometry. We also provide results on a number of standard motion sequences.

    標簽: image registration multiframe techniques

    上傳時間: 2016-01-20

    上傳用戶:520

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