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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: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
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Size: 480384 |
Author: xjwu |
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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: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
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Size: 480256 |
Author: xjwu |
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Description: STEREO-BASED ELLIPTICAL HEAD TRACKING-A novel algorithm for head-tracking based on stereo is
presented in this paper. Employing stereo vision makes the
tracker robust to many factors such as clutter, color and lighting
variations, that affect contemporary head trackers
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Size: 423936 |
Author: x |
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Description: a straight forward technique
for tracking a human hand based on images acquired by
an active stereo camera system.
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Size: 194560 |
Author: Mohammad |
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Description: 视觉大师张正友的经典著作，主要论述了计算机视觉相关问题，例如摄像机标定，立体匹配，三维重建，运动跟踪-Visual Master Zhang is the Friends of classics, mainly discusses the computer vision-related issues, such as camera calibration, stereo matching, three-dimensional reconstruction, motion tracking, etc.
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Size: 10757120 |
Author: simon |
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Description: 视觉大师张正友的经典著作，主要论述了计算机视觉相关问题，例如摄像机标定，立体匹配，三维重建，运动跟踪-Visual Master Zhang is the Friends of classics, mainly discusses the computer vision-related issues, such as camera calibration, stereo matching, three-dimensional reconstruction, motion tracking
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Size: 6855680 |
Author: simon |
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Description: stereo vision based target tracking for a gun turret utilizing low performane components
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Size: 3948544 |
Author: verte |
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Description: 本人毕业设计程序，实现了从双摄像头采集，立体视觉标定，对特定目标进行跟踪，并通过串口发送数据对机器车-I graduated from the design process, collected from the two-camera stereo vision calibration, and tracking of specific target, and send data through the serial port on the machine car
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Author: |
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Description: PS3 Camera tracking capabilities to implement existing USB cameras basketballs to change
- PS3 camera 2
- Stereo Calibration
- Opencv 2.4.3
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Size: 60494848 |
Author: sabunim |
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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.
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Size: 6855680 |
Author: 王宇 |
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Description: 在计算机视觉的领域中，图像匹配是很多问题最重要的一个方面，包括物体和场景识别，通过多幅图像进行3D重构，立体匹配和运动跟踪。SIFT特征对于图像的旋转和尺度变化具有不变性，对于光照改变和摄像机角度变化具有部分的不变性-In the field of computer vision, image matching is one of the most important aspects of the many problems, including the identification of objects and scenes, 3D reconstruction by the plurality of images, the stereo matching and motion tracking. SIFT features for image rotation and scale change invariant for illumination changes and camera angle changes with partial invariance
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Size: 456704 |
Author: 陈凯燕 |
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Description: openCV中文版 附目录
本书主要介绍:
1.透彻介绍OpenCV
2.从摄像机获取输入
3.图像的变换
4.图像的分割和形状的匹配
5.模式识别，包括人脸检测
6.二维和三维场景中的跟踪监测
7.根据立体视觉进行三维重构
8.机器学习算法-the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm
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Size: 13516800 |
Author: chenchao |
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Description: 双目视觉的三维重建，有助于研究双目跟踪和立体视觉的重建问题。-3 d reconstruction of binocular vision, help the binocular tracking and the reconstruction of the stereo vision problems.
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Size: 5522432 |
Author: 郭聪 |
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Description: 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Stereo Vision，这里讲的是一种图像点定位的方法，即图像的局部匹配，将图像匹配问题，从传统的滑动窗口搜索方法变为一个求解偏移量d的过程，后来Jianbo Shi和Carlo Tomasi两人发表了一篇CVPR(94 )的文章Good Features To Track，这篇文章，主要就是讲，在求解d的过程中，哪些情况下可以保证一定能够得到d的解，这些情况的点有什么特点（后来会发现，很多时候都是寻找的角点）。-KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. The source code is in the public domain, available for both commercial and non-commerical use.
The tracker is based on the early work of Lucas and Kanade [1], was developed fully by Tomasi and Kanade [2], and was explained clearly in the paper by Shi and Tomasi [3]. Later, Tomasi proposed a slight modification which makes the computation symmetric with respect to the two images-- the resulting equation is derived in the unpublished note by myself [4]. Briefly, good features are located by examining the minimum eigenvalue of each 2 by 2 gradient matrix, and features are tracked using a Newton-Raphson method of minimizing the difference between the two windows. Multiresolution tracking allows for relatively large displacements between images. The affine computation that evaluates the consistency of features between non-consecutive frames [3] was implemented by Thorsten T
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Size: 789504 |
Author: 王凯 |
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Description: 空间椭圆的立体图，进行轨迹跟踪问题研究的模型-A model of the space ellipse s stereo map and the trajectory tracking problem is studied.
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Description: Phase Locked Loops (PLL)
Introduction to PLL
The concept of Phase Locked Loops (PLL) first emerged in the early 1930’s.But the technology was not developed as it now, the cost factor for developing this technology was very high. Since the advancement in the field of integrated circuits, PLL has become one of the main building blocks in the electronics technology. In present, the PLL is available as a single IC in the SE/NE560 series (560, 561, 562, 564, 565 and 567) to further reduce the buying cost ,the discrete IC’s are used to construct a PLL.
PLL Applications
Frequency Modulation (FM) stereo decoders, FM Demodulation networks for FM operation.
Frequency synthesis that provides multiple of a reference signal frequency.
Used in motorspeed controls, tracking filters.
Used in frequency shift keying (FSK) decodes for demodulation carrier frequencies.
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Size: 13312 |
Author: sabir ouchen |
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Description: 图像数据操作（内存分配与释放，图像复制、设定和转换）
图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出）
矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解）
支持多种动态数据结构（链表、队列、数据集、树、图）
基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构）
结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
摄像头定标（寻找和跟踪定标模式、参数定标、基本矩阵估计、单应矩阵估计、立体视觉匹配）
运动分析（光流、动作分割、目标跟踪）
目标识别（特征方法、HMM模型）
基本的GUI（显示图像/视频、键盘/鼠标操作、滑动条）
图像标注（直线、曲线、多边形、文本标注）-mage data manipulation (memory allocation and release, image copy, setting, and conversion)
Image/video input/output (support file or camera input, image/video file output)
Matrix/vector data manipulation and linear algebra operations (matrix multiplication, matrix equations, eigenvalue, singular value decomposition)
Support for a variety of dynamic data structures (linked list, queue, data set, tree, graph)
Basic image processing (denoising, edge detection, corner detection, sampling and interpolation, color transformation, morphological processing, histogram, image Pyramid structure)
Structure analysis (connected domain/branch, contour processing, distance transform, image moment, template matching, Hof transform, polynomial approximation, curve fitting, ellipse fitting, the triangulation of the
Camera calibration (search and tracking calibration mode, parameter calibration, basic matrix estimation, single stress matrix estimation, stereo vision matching)
Motion analysis (opti
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Size: 3723264 |
Author: korbon |
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Description: opencv streo vision tracking diffrent people
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Size: 8647680 |
Author: g2p
|
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