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Description: 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.
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Size: 486459 |
Author: 刘长乐 |
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Description: This code implements two variations of the paper
\"High accuracy optic flow using a theory for warping\" presented at ECCV 2004 by Dr. Thomas Brox.
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Size: 1771640 |
Author: sssss |
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Description: 用matlaB实现的高精度光流场仿真，实现了"High accuracy optic flow using a theory for warping"论文的算法。并在资料中附了原文，超值
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Size: 296204 |
Author: whshmilywxf |
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Description: 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.
Platform: |
Size: 486400 |
Author: 刘长乐 |
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Description: This code implements two variations of the paper
"High accuracy optic flow using a theory for warping" presented at ECCV 2004 by Dr. Thomas Brox.
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Size: 1771520 |
Author: |
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Description: motion estimation using correlation based optic flow method
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Size: 2048 |
Author: babu |
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Description: An affine (or first-order) optic flow model has 6 parameters, describing image translation, dilation, rotation and shear. The function affine_flow estimates these parameters for two frames of an image sequence.
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Size: 502784 |
Author: zhenhao |
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Description: 寻找相应的特点,在一副图片的基础是许多光流、立体的视觉和图像间的配准算法。一个发现匹配方法简单,取一小块一个图像,计算其滑动互相与其他的形象,并找到一个高峰。此表格提供了课堂的实现方法。-Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak. This submission supplies a class which implements this method.
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Size: 776192 |
Author: 王羽 |
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Description: 一种很好用的光流法，对于图像处理学习的初学者是很不错的参考程序。-A good use of optical flow for image processing is very good for beginners to learn the reference procedure.
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Size: 3451904 |
Author: 秦垚 |
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Description: 一个matlab程序 从一个avi视频中读取两帧画面进行光流计算 分别用hs算法 lk算法 和块匹配法-A matlab program to read from a two avi video screens were used for optical flow algorithm lk hs block matching algorithm and
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Size: 7292928 |
Author: 袁永金 |
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Description: an algorithm is reproduced in own way to get optic flow pattern. horn schunck method is used.
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Size: 2048 |
Author: safiya |
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Description: Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]-Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]
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Size: 1024 |
Author: velusamy |
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Description: Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]-Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]
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Size: 1024 |
Author: velusamy |
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Description: computer vision to optic flow techniques reading files and creating a dense field
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Size: 1024 |
Author: juan_perrito |
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Description: computer vision library to obtain a gaussian smoothed field for optic flow
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Size: 1024 |
Author: juan_perrito |
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Description: Useful tool for rendering and outputting information rich images-This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.
All the MATLAB built-in colormaps are implemented, but without MATLAB s nasty discretization artifacts. Plus, there are many new colormaps which are helpful for viewing more complex data, such as optic flow, likelihoods over images, difference images, segmentations, stereo image pairs (as anaglyphs) and edge-maps with orientation. It also accepts user defined linear and non-linear colormaps.
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Size: 41984 |
Author: 史明明 |
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Description: 仿射（或一阶）光流模型有6个参数，描述图像平移，放大，旋转及剪切。类affine_optical_flow提供方法利用两帧图像序列来估计这些参数。-An affine (or first-order) optic flow model has 6 parameters, describing image translation, dilation, rotation and shear. The class affine_flow provides methods to estimates these parameters for two frames of an image sequence.
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Size: 116736 |
Author: titan |
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Description: 自己实现的视频中光流点跟踪代码，加入视频数据可以直接运行，效果还是不错的，可以作为视频跟踪的参考-Optical flow point in their implementation of video tracking code, to join the video data can be directly run, effect is good, can be a reference video tracking
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Size: 1062912 |
Author: stone |
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Description: 基于matlab步态识别 用光流发对图像进行处理-Development of optical flow image processing matlab based gait recognition
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Size: 14336 |
Author: lili |
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Description: 光流算法是比较经典的运动估计方法，光流场反映了图像上每一点灰度的变化趋势-Optical flow algorithm is the classical motion estimation method, optical flow field reflects the change tendency of every point on the image grayscale
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Size: 1024 |
Author: 永恒 |
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