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   视差估计 的翻译结果: 查询用时:0.492秒
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视差估计
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  disparity estimation
     Hierarchical MRF/GRF Model Based Disparity Estimation and Segmentation for Stereo Images
     应用分层MRF/GRF模型的立体图像视差估计及分割
短句来源
     Fast Disparity Estimation Algorithms for Stereo Video Coding Based on MPEG-2
     基于MPEG-2的立体视频编码中的视差估计快速算法
短句来源
     A fast disparity estimation algorithm for stereo video coding based on H.264
     一种基于H.264的立体视频编码中的视差估计快速算法
短句来源
     To improve the coding efficiency of left image,a new stereo image coding algorithm(SOM+VQ+DE) based upon self-organizing feature map(SOM) and disparity estimation(DE) is presented. Vector quantization(VQ) is used to predict left image instead of the general JPEG algorithm. SOM is used for the codebook training.
     为了提高左图像的编码效率,提出了一种新的基于自组织神经网络的立体图像编码算法(SOM+VQ+DE),SOM+VQ+DE算法对右图像采用视差估计补偿技术(DE)编码,对左图像则使用基于自组织特征映射算法(SOM)的矢量量化编码来取代传统的JPEG方法,矢量量化与视差估计的残差均使用DCT+霍夫曼进行编码.
短句来源
     First, algorithms for extracting moving objects in stereo and multi-view video are proposed. Then object-based disparity estimation technology is studied and two new algorithms for object-based disparity estimation are proposed, which can achieve precise and smooth disparity field.
     在此两章中首先研究了立体视频和多视域视频中的视频目标提取和跟踪算法,给出一种快速的多通道视频目标提取算法,然后重点研究了基于对象的视差估计技术,给出了两种基于对象的视差估计新算法,该算法能得到较为精确和光滑的视差场。
短句来源
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  “视差估计”译为未确定词的双语例句
     Predict Recursion Disparity Match Based on Object
     基于对象的预测递归视差估计
短句来源
     An existing technique in stereo image coding is the subspace projection technique(SPT), which combines disperity estimation(DE) and disperity compensation(DC) with 2D low order approximation.
     在立体对中 ,两幅图像之间存在着大量的双目交叉冗余度 ,在带宽有限的信道中传输时 ,需要采用编码压缩算法予以去除 . 近年提出的子空间投影技术 (SPT) ,把视差估计 (DE)和视差补偿 (DC)同二维低阶近似相结合 ,对立体图像进行编码 ,得到了比较好的效果 .
短句来源
     The key techniques include disparity'estimation, occlusion detection, disparity compensated difference coding and joint estimation of disparity and motion.
     核心技术有视差估计、遮挡检测、立体残差图像编码、运动和视差的联合估计等。
短句来源
     Based on the comprehensive analysis of the effect of window size on sum of squared differences (SSD) in different cases, according to the property of natural objects and the features of the content of stereo images, a method to adjust window size adaptively is proposed for stereo matching based on object contours and forward prediction.
     针对用窗方法进行视差估计的问题 ,在详细分析了不同情况下窗大小对亮度差平方和(SSD)影响的基础上 ,根据立体图像内容的特点和自然界物体的性质 ,提出了基于物体轮廓和前向预测的自适应窗匹配方法 ,用于立体图像对对应像素点的视差估计 .
短句来源
     Secondly, a correcting mechanism, called gain control, based on the statistics of the left and the right image of the stereo pair, is shown to improve the performance of the parallax estimating algorithm.
     其次我们介绍一种基于立体图对统计特性的称为增益控制的方法以改进视差估计算法的性能。
短句来源
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  相似匹配句对
     b) a G-M estimator of ω'1α, ω'2β and ω'1α+ω'2β under L (Xβ, Aα; δ21V, δ22U} respectively.
     b)G-M估计
短句来源
     Predict Recursion Disparity Match Based on Object
     基于对象的预测递归视差估计
短句来源
     Stereo Image Coding Based on Hierarchical Disparity Estimation
     基于分层视差估计的立体图象编码
短句来源
     An Estimator of Reflection Coefficients
     反射系数的估计
短句来源
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  disparity estimation
One can select feature points as matching character by using disparity estimation method, under satisfying the condition of certain matching theorem.
      
Performance of phase-based algorithms for disparity estimation
      
Stereoscopic depth analysis by means of disparity estimation has been a classical topic of computer vision, from the biological models of stereopsis [1] to the widely used techniques based on correlation or sum of squared differences [2].
      
Analog computation for phase-based disparity estimation: continuous and discrete models
      
The analog implementation of a phase-based technique for disparity estimation is discussed.
      
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his paper proposes a new algorithm for stereo matching which utilizes the wavelet theory de-veloped recently. The original stereo images are decomposed into a family of bandpass versiOns which have good spatialfrequency Iocalization using Hardy elementary wavelethnction.The algorithm uses the phases of muItichannel bandpass versions amatching primitives,so the problem of computing disparity can be for-mulated in terms of phase matching. The system is a coarse-fine multichannel matching strategy, and the matching...

his paper proposes a new algorithm for stereo matching which utilizes the wavelet theory de-veloped recently. The original stereo images are decomposed into a family of bandpass versiOns which have good spatialfrequency Iocalization using Hardy elementary wavelethnction.The algorithm uses the phases of muItichannel bandpass versions amatching primitives,so the problem of computing disparity can be for-mulated in terms of phase matching. The system is a coarse-fine multichannel matching strategy, and the matching constraints are combined with the phase matching. Experimental results show that the proposed al-gorithm is rather simple, noiseproof and can produce a dense disparity field efficiently.

本文将近年来兴起的小波理论应用于立体视觉技术,提出了一种新的立体匹配算法。该算法利用Hardy小波基函数将原始象对分解成一系列具有良好时(空)领域定位性的带通分量,以多通道带通分量的相位信息为匹配基元,从而将视差估计转化为相位差估计问题,整个系统采用由粗到细引导的多通道匹配结构,将匹配约束溶于估计算法之中。实验结果表明,该算法结构简单,抗噪力强,能快速有效地产生密集的视差场。

The feature points are often extracted as matching feature. And a constraint minimum energy function can be got by using the method of disparity estimation under the condition of certain matching criterion. The results of simulated experiments show that the stereo matching can be obtained. It is possible to escape from local minimum by simulated annealing, and the energy function can reach the global minimum.

选择特征点作为匹配特征,采用视差估计方法,在满足一定匹配准则情况下,可以得到一约束最小化能量函数。模拟实验结果表明,使用模拟退火算法,可使能量函数达到全局最小,从而实现立体匹配。

This paper is concerned with a new algorithm for stereo matching that utilizes the wavelet theory. The original stereo images are decomposed into a family of bandpass versions with good spatial frequency localization by using the Hardy elementary wavelet function. As the phases of multichannel bandpass versions are used, as matching primitives, the problem of computing disparity can be formulated in terms of phase matching. The system is a coarse to fine multichannel matching strategy, and the matching constraints...

This paper is concerned with a new algorithm for stereo matching that utilizes the wavelet theory. The original stereo images are decomposed into a family of bandpass versions with good spatial frequency localization by using the Hardy elementary wavelet function. As the phases of multichannel bandpass versions are used, as matching primitives, the problem of computing disparity can be formulated in terms of phase matching. The system is a coarse to fine multichannel matching strategy, and the matching constraints are combined with the phase matching. Experimental results show that the algorithm proposed is fairly simple, noiseproof and can efficiently produce a dense disparity field.

基于人类的视觉机理和小波变换的特性,提出了一种基于小波变换相位基元的多通道立体匹配算法.该算法利用Hardy小波基函数将原始像对表示成一系列具有良好空-频域定位性的带通分量,以多通道带通分量的相位信息作为匹配基元.从而将视差估计转化为相位估计问题.研究结果表明,该算法结构简单,稳定可靠,能快速有效地产生密集的视差场.

 
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