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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.
Update : 2008-10-13 Size : 475.06kb Publisher : 刘长乐

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.
Update : 2025-02-19 Size : 475kb Publisher : 刘长乐

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A structure an motion toolkit in Matlab This document describes a set of Matlab functions for SAM (structure and motion recovery) its primary aim is to illustrate various methods developped over the past few years in this area-A structure an motion toolkit in Matlab This document describes a set of Matlab functions for SAM (structure and motion recovery) its primary aim is to illustrate various methods developped over the past few years in this area
Update : 2025-02-19 Size : 2.18mb Publisher : rauchdi

该工程是深入理解OpenCV第四章使用OpenCV研究从运动中恢复结构的源码。-The project is in-depth understanding of OpenCV Chapter 4 using OpenCV to study the source of the structure motion recovery.
Update : 2025-02-19 Size : 1.01mb Publisher : wuqiaoqiao
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