Description: 用于光流场计算的小程序，可以用于单目标和多目标检测-for optical flow field of small procedures, can be used for single and multi-object detection Platform: |
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Author:刘竟 |
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Description: 鲁棒的光流计算方法，计算2帧图像之间的光流，内含该方法的论文以及源码。-Robust optical flow calculation method, calculation between two images of the optical flow, including the method of the thesis as well as the source. Platform: |
Size: 6909952 |
Author:蒋志成 |
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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] Platform: |
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] Platform: |
Size: 1024 |
Author:velusamy |
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Description: Horn -Schunck方法
此方法是首次使用亮度恒定假设和推导出基本的之一。 Horn 和 Schunck求解方程法的假设是一个速度平滑约束。本次作业 求解方程法的假设是一个速度平滑约束。本次作 业中采用Visual studio 2008下配置 opencv2.1实现该算法。-Horn and Schunck method
This method is the first time use brightness constancy assumption and one of the basic is deduced. Horn and Schunck method solving equation of the hypothesis is a speed smoothness constraint. Solving equation method, the assumption of this assignment is a speed smoothness constraint. Under this for industry use Visual studio 2008 configuration opencv2.1 realization of the algorithm.
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Author:kkpudn515 |
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Description: 包括视觉的介绍，边缘检测，射影几何与几何原色表达，摄像机定标，立体视觉，运动与不确定性表达，基于光流场的运动分析，长许立运动图像特征跟踪，基于二维特征对应的运动分析-Primary color expression, including the introduction of visual, edge detection, projective geometry and geometric camera calibration, stereo vision, movement and expression of uncertainty, based on the movement of the optical flow field analysis, long Xu movement image feature tracking based on two-dimensional characteristics of the corresponding motion analysis, etc. Platform: |
Size: 6855680 |
Author:王宇 |
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Description: Programming in the environnement:
Visual Studio 2010 with the wrapping Emgu, C#
In order to use the Optical Flow funtions.
Tutorials Platform: |
Size: 16939008 |
Author:virmond |
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Description: 多尺度光流算法c++，光流是一种简单实用的图像运动的表达方式，通常定义为一个图像序列中的图像亮度模式的表观运动，即空间物体表面上的点的运动速度在视觉传感器的成像平面上的表达。-Multi-scale optical flow algorithm c++, optical flow is an expression of the image motion is simple and practical, is usually defined as the apparent motion of image brightness patterns in an image sequence, the expression of spatial objects on the surface of the velocity in the image plane of the visual sensor. Platform: |
Size: 404480 |
Author:qiao_ |
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Description: 单尺度光流算法c++，光流是一种简单实用的图像运动的表达方式，通常定义为一个图像序列中的图像亮度模式的表观运动，即空间物体表面上的点的运动速度在视觉传感器的成像平面上的表达。-Single scale c++ optical flow algorithm, optical flow is an expression of the image motion is simple and practical, is usually defined as the apparent motion of image brightness patterns in an image sequence, the expression of spatial objects on the surface of the velocity in the image plane of the visual sensor. Platform: |
Size: 365568 |
Author:qiao_ |
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Description: 目前擴增實境技術相關應用大部分以使用標記為主，但各式應用需求與日俱增，無標記(markerless)擴增實境技術使用上更具彈性，不必受限於標記的使用，因此應用層面更廣。視覺追蹤技術是擴增實境系統重要底層核心技術之一，但使用視覺追蹤技術在實際應用上易受到追蹤物件本身及外觀變化之影響，因此本文提出適用於無標記擴增實境應用之物件追蹤方法，能有效追蹤各式真實物件。首先框選設定追蹤物件；接著擷取物件特徵值，藉由特徵值比對以持續追蹤物件，並利用金字塔L-K光流法以縮短比對運算時間；最後經由2D-3D座標轉換，將3D虛擬物件疊加至真實場景。經由實驗證明本文所提之方法能有效追蹤各式真實物件，並能適用於無標記擴增實境相關應用。-Augmented Reality technology currently most relevant applications to use mark-based, but the increasing demand for all kinds of applications, without marking (markerless) amplification technology more flexible use of reality, not necessarily limited to the use of tags, therefore the application level broader. Visual tracking technology is one of the important augmented reality system underlying core technology, but the use of visual tracking technology in practical applications susceptible to track changes and appearance of the object itself, and therefore in this paper applies to Amplification unmarked objects of reality application tracing method can effectively track all kinds of real objects. First, set the track object marquee then retrieve objects eigenvalues by eigenvalue than to keep track of objects, and uses of the pyramid LK optical flow method to shorten the computation time than on and finally converted via 2D-3D coordinates of the 3D virtual object superimposed to the r Platform: |
Size: 644096 |
Author:鍾德煥 |
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Description: 采用光流法形式检测背景相对稳定的运动物体，编写语言为C++，所有视觉库为opencv(The optical flow method is used to detect moving objects with relatively stable background. The language is C++, and all visual libraries are OPENCV) Platform: |
Size: 6976512 |
Author:zouwit
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