Search - mean shift

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[3D Graphic] QPoly_GUI DL : 0: 我修改的mesh绘制程序，我加入了meanshift 平滑功能-I modified mesh drawing program, I joined the meanshift smooth function
Date : 2025-12-21 Size : 984kb User : 杜敏
[3D Graphic] point-cloud-denoising-algorithm DL : 0: 离散点云去噪方面的中文论文，采用核函数估计和mean-shift进行去噪，很值得一看-Discrete point cloud denoising papers kernel function estimation and mean-shift denoising, it is worth a visit
Date : 2025-12-21 Size : 1.47mb User : king
[3D Graphic] CBWH_IET_Computer-Vision DL : 0: 背景加权直方图算法（BWH）在[2]中提出了尝试减少干扰的背景均值漂移跟踪的目标定位。然而，在本文中，我们证明了权重分配给候选目标区域的像素 BWH是那些没有背景资料成正比，即不会引入BWH 任何新的信息，因为均值漂移迭代公式是不变的规模改造砝码。然后，我们提出了一个校正BWH（CBWH）的公式只转型的目标模式，但不是目标候选模型。 CBWH计划可以有效地降低背景的干扰，在目标定位。实验结果表明，CBWH可能会导致更快的收敛速度和更准确的定位比通常的目标表示均值漂移跟踪。即使目标没有得到很好的初始化，该算法仍然强劲跟踪的对象，这是很难实现由传统的目标表示。-The background-weighted histogram (BWH) algorithm proposed in [2] attempts to reduce the interference of background in target localization in mean shift tracking. However, in this paper we prove that the weights assigned to pixels in the target candidate region by BWH are proportional to those without background information, i.e. BWH does not introduce any new information because the mean shift iteration formula is invariant to the scale transformation of weights. We then propose a corrected BWH (CBWH) formula by transforming only the target model but not the target candidate model. The CBWH scheme can effectively reduce background’s interference in target localization. The experimental results show that CBWH can lead to faster convergence and more accurate localization than the usual target representation in mean shift tracking. Even if the target is not well initialized, the proposed algorithm can still robustly track the object, which is hard to achieve by the conventiona
Date : 2025-12-21 Size : 713kb User : 吴盈
[3D Graphic] IET_CV_SOAMST_2011 DL : 0: 一个比例和方向自适应均值漂移跟踪算法（SOAMST）提出本文所要解决的问题，如何估计的规模和方向改变均值漂移下的目标跟踪框架。在原来的均值偏移跟踪算法，可以很好地估计目标的位置，规模的同时，方向的变化，不能自适应估计。考虑到图像（重量）是来自于目标运动模型和候选模型可以代表的可能性，一个像素属于目标，我们证明了原来的均值漂移跟踪算法可以推导出的重量图像的零阶和一阶矩。随着零阶矩和目标模型和候选模型之间的Bhattacharyya系数，提出了简单而有效的方法来估计的规模为目标。然后一种方法，利用估计的区域和第二阶中心矩，提出自适应地估计目标的宽度，高度和方向的变化。广泛实验来证实所提出的方法，并验证其可靠性规模和方向变化的目标。-A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e
Date : 2025-12-21 Size : 1.92mb User : 吴盈
[3D Graphic] menashiftmatlab2 DL : 0: 这个程序再matlab2012b版本上调试成功，以前在毕业设计的时候在网上找到的资料，希望对大家有用，mean-shift用于图像分割 Matlab程序-This program debug version then matlab2012b success in graduate design information previously found on the Internet when we want to be useful, MATLAB programs: the use of DWT image watermarking embedding and extraction, which contains a watermark image, the original image
Date : 2025-12-21 Size : 40kb User : 李妍