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Description: 本程序是计算机视觉稠密匹配的程序，对两幅序列图像能够实现一个稠密视差图。-Computer Vision populated matching procedures, two image sequence to achieve a dense disparity map.
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Size: 52529 |
Author: lhc2000 |
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Description: 基于区域的立体匹配算法 视差分析2 计算机视觉中的立体匹配研究，深度图-based on the regional disparity stereo matching algorithm analysis of two computer vision of the stereo matching studies, in-depth map
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Size: 213080 |
Author: zhawaqa |
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Description: EStereo is a computer vision C++ library for real-time disparity estimation. The library contains various functions for dense stereo matching from 2 or 3 rectified images and 3D scene reconstruction.-EStereo is a computer vision library for C r Leveraging-time disparity estimation. The library co ntains various functions for dense stereo matc hing from two or three rectified images and 3D scene rec onstruction.
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Size: 228279 |
Author: 陆游 |
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Description: ：利用自行研制的多导视觉诱发电位（J M）信号采集处理系统和两套视差深度随机点立体（NOI）图对，诱发
视皮层神经网络兴奋发放，提取并分析了立体视觉视差深度认知过程的皮层电位信号，对视差相关诱发电位特征进
行了标定’ 采用两种完全不同的信息处理方法重复实验，揭示了高级视皮层功能区出现的K! 波由视差相关J M 发
放，提示体视视差深度信息处理可能是在高级视皮层功能区上完成的’ 根据不同功能区隐含信息的处理结果，推测
大脑皮层体视信息处理系统中存在信息反馈通路’ 实验结果还表明，立体视觉深度认知过程是一个动态的复杂信息
协同处理过程-: a self-made multi-channel visual evoked potential (J M) signal acquisition and processing systems, and two sets of Parallax depth random dot stereogram ( NOI) Figure right, the visual cortex induced neural networks excited release Extraction and analysis of three-dimensional visual parallax depth understanding of the process of cortical potential signal, the disparity evoked potentials relevant characteristics of the calibration 'use of two completely different kinds of information processing methods repeat experiments, High revealed the function of the visual cortex area of K! Parallax related wave from J M Grant, Parallax suggested Stereology depth information processing may be at the senior visual cortex function area on completion of the 'under different functional areas impl
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Size: 227502 |
Author: 特殊台 |
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Description: 在立体视觉中用VC进行匹配,读两幅图像,然后得到这物体的视差图.-used in the three-dimensional visual matching VC, reading two images, and then to have these objects disparity map.
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Size: 1986280 |
Author: 王云 |
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Description: 立体视觉代码。主要过程包括：harris角点检测，zncc最优策略匹配，扩散得到更多特征对应，计算disparity和对应颜色值。另外提供了两幅图片以及对应的特征匹配的结果和disparity图像。
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Size: 473696 |
Author: mawei |
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Description: 一种基于FPGA的设计实时高分辨率图像处理系统的设计方法。英文为Real-Time System for High-Image Resolution Disparity Estimation。主要讲算法和系统构架
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Size: 1740278 |
Author: 苗苗 |
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Description: Analysis and Hardware Design of Intermediate View Generation Using Adaptive Disparity Estimation Based on Spatial and Temporal Correlation
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Size: 166565 |
Author: peng |
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Description:
vhdl编写，8b—10b 编解码器设计
Encoder:
8b/10b Encoder (file: 8b10b_enc.vhd)
Synchronous clocked inputs (latched on each clock rising edge)
8-bit parallel unencoded data input
KI input selects data or control encoding
Asynchronous active high reset initializes all logic
Encoded data output
10-bit parallel encoded output valid 1 clock later
Decoder:
8b/10b Decoder (file: 8b10b_dec.vhd)
Synchronous clocked inputs (latched on each clock rising edge)
10-bit parallel encoded data input
Asynchronous active high reset initializes all logic
Decoded data, disparity and KO outputs
8-bit parallel unencoded output valid 1 clock later
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Size: 73116 |
Author: 聂样 |
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Description: computing dense correspondence #
# (disparity map) between two images using graph cuts
This software implements stereo algorithms described in the following papers:
Vladimir Kolmogorov and Ramin Zabih
"Multi-Camera scene Reconstruction via Graph Cuts"
In: European Conference on Computer Vision, May 2002.
Vladimir Kolmogorov and Ramin Zabih
"Computing Visual Correspondence with Occlusions using Graph Cuts"
In: International Conference on Computer Vision, July 2001.
and
Yuri Boykov, Olga Veksler and Ramin Zabih
"Markov Random Fields with Efficient Approximations"
In: IEEE Computer Vision and Pattern Recognition Conference, June 1998.
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Size: 1319269 |
Author: newship@126.com |
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Description: ：利用自行研制的多导视觉诱发电位（J M）信号采集处理系统和两套视差深度随机点立体（NOI）图对，诱发
视皮层神经网络兴奋发放，提取并分析了立体视觉视差深度认知过程的皮层电位信号，对视差相关诱发电位特征进
行了标定’ 采用两种完全不同的信息处理方法重复实验，揭示了高级视皮层功能区出现的K! 波由视差相关J M 发
放，提示体视视差深度信息处理可能是在高级视皮层功能区上完成的’ 根据不同功能区隐含信息的处理结果，推测
大脑皮层体视信息处理系统中存在信息反馈通路’ 实验结果还表明，立体视觉深度认知过程是一个动态的复杂信息
协同处理过程-: a self-made multi-channel visual evoked potential (J M) signal acquisition and processing systems, and two sets of Parallax depth random dot stereogram ( NOI) Figure right, the visual cortex induced neural networks excited release Extraction and analysis of three-dimensional visual parallax depth understanding of the process of cortical potential signal, the disparity evoked potentials relevant characteristics of the calibration 'use of two completely different kinds of information processing methods repeat experiments, High revealed the function of the visual cortex area of K! Parallax related wave from J M Grant, Parallax suggested Stereology depth information processing may be at the senior visual cortex function area on completion of the 'under different functional areas impl
Platform: |
Size: 227328 |
Author: 特殊台 |
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Description: 立体视觉代码。主要过程包括：harris角点检测，zncc最优策略匹配，扩散得到更多特征对应，计算disparity和对应颜色值。另外提供了两幅图片以及对应的特征匹配的结果和disparity图像。-Three-dimensional visual codes. The main process includes: harris corner detection, zncc optimal strategy for matching, the proliferation of more features of the corresponding calculation of disparity and the corresponding color value. Also provides a picture and two corresponding feature matching results and disparity images.
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Size: 473088 |
Author: mawei |
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Description:
vhdl编写，8b—10b 编解码器设计
Encoder:
8b/10b Encoder (file: 8b10b_enc.vhd)
Synchronous clocked inputs (latched on each clock rising edge)
8-bit parallel unencoded data input
KI input selects data or control encoding
Asynchronous active high reset initializes all logic
Encoded data output
10-bit parallel encoded output valid 1 clock later
Decoder:
8b/10b Decoder (file: 8b10b_dec.vhd)
Synchronous clocked inputs (latched on each clock rising edge)
10-bit parallel encoded data input
Asynchronous active high reset initializes all logic
Decoded data, disparity and KO outputs
8-bit parallel unencoded output valid 1 clock later -VHDL prepared, 8b-10b codec design Encoder: 8b/10b Encoder (file: 8b10b_enc.vhd) Synchronous clocked inputs (latched on each clock rising edge) 8-bit parallel unencoded data input KI input selects data or control encoding Asynchronous active high reset initializes all logic Encoded data output 10-bit parallel encoded output valid 1 clock later Decoder: 8b/10b Decoder (file: 8b10b_dec.vhd) Synchronous clocked inputs (latched on each clock rising edge) 10-bit parallel encoded data input Asynchronous active high reset initializes all logic Decoded data, disparity and KO outputs 8-bit parallel unencoded output valid 1 clock later
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Size: 72704 |
Author: 聂样 |
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Description: The algorithm is based on “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner.
-The algorithm is based on
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Size: 468992 |
Author: 徐亮 |
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Description: source code for Stereo matching algorithm
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Size: 25600 |
Author: Sabesan |
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Description: 超级简单的一个任务调度器，是量子编程的作者写的，非常实用-Almost all embedded systems are event-driven most of the time they wait for some event such as a time tick, a button press, a mouse click, or the arrival of a data packet. After recognizing the event, the systems react by performing the appropriate computation. This reaction might include manipulating the hardware or generating secondary, "soft" events that trigger other internal software components. Once the event-handling action is complete, such reactive systems enter a dormant state in anticipation of the next event.1
Ironically, most real-time kernels or RTOSes for embedded systems force programmers to model these simple, discrete event reactions using tasks structured as continuous endless loops. To us this seems a serious mismatch--a disparity that s responsible for much of the familiar complexity of the traditional real-time kernels.
In this article we ll show how matching the discrete event nature typical of most embedded systems with a simple run-to-completion (RTC) kerne
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Size: 45056 |
Author: trey21ic |
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Description:
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Size: 1024 |
Author: 冯芝铭 |
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Description: 提出了一种基于对应点匹配的物体深度信息测量方法。首先给出了物理图像坐标系与像素坐标系之间的关系；其次，借助于相关法计算两幅图像中目标的相似度，以实现同一目标在不同成像中的匹配；然后从目标几何形状的角点出发，结合对应点的外极线约束条件，提出一种有效的对应点匹配算法，并利用对应点的视差计算基于光轴平行的双摄像机成像的目标深度信息。计算机仿真结果验证了算法的有效性。-A method for measuring the depth of an object was proposed based on the corresponding points matching.Firstly, the transform relation between physics image coordinate system and pixel coordinate system was presented. Secondly,the matching of the same object in two different images was achieved by use of the similarity calculated through the correlationalgorithm of two images. Thirdly, from the viewpoint of the corner of the object, a method for matching the corresponding points was presented based on the epipolar restriction of corresponding points. By making use of the disparity of corresponding points, the depth information was computed based on the images that were obtained from the parallel dual cameras. Simulation
results demonstrate the effectiveness of this algorithm.
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Size: 193536 |
Author: swl |
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Description: 在目标跟踪过程中，由于存在目标姿态变化和背景干扰，在跟踪过程中必须要对模板进行必要的修正，应该在获取目标本文探讨了奇异值分解及其在图像匹配和目标跟踪中的应用，定义了一种近似奇异值向量模板后有一个可靠的模板更新策略.并提出了一种基于图像奇异值特征向量数据特点的跟踪策略并作了大量试验，试验结果表明所提出的图像匹配方法和目标跟踪策略的有效性.-A method for measuring the depth of an object was proposed based on the corresponding points matching.Firstly, the transform relation between physics image coordinate system and pixel coordinate system was presented. Secondly,the matching of the same object in two different images was achieved by use of the similarity calculated through the correlationalgorithm of two images. Thirdly, from the viewpoint of the corner of the object, a method for matching the corresponding points was presented based on the epipolar restriction of corresponding points. By making use of the disparity of corresponding points, the depth information was computed based on the images that were obtained from the parallel dual cameras. Simulation
results demonstrate the effectiveness of this algorithm.
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Size: 318464 |
Author: swl |
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Description: Disparity mapp code in VHDL
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Size: 17408 |
Author: tamero
|
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