Description: 一种具有旋转不变性的模板匹配方法,以前做项目使用过，效果不错，希望有用-A rotation invariant template matching method, in the past used to do the project, well, I hope useful Platform: |
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Author:lidawei |
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Description: 对由光源颜色变化引起的图像色彩偏差,进行了校正,并在YCbCr颜色空间建立了Cb-Cr色度查找表和亮度信息联合的肤色模型,应用预处理技术,去除部分非人脸区域,减少人脸检测的搜索空间,并采用模板匹配方法在人脸候选区域检测人脸.实验表明,该方法能够有效的从复杂环境的彩色图像中检测出左右旋转不超过45°的人脸,且不受人脸表情、尺度和数目的影响,且错误率较低.-Color by the light source caused by the change of image color deviation, a correction, and YCbCr color space established a Cb-Cr chrominance and luminance information look-up table of the color model of the joint application of pre-treatment technology, to remove some non-human face region, Face detection to reduce the search space, using a template matching method in the face candidate region detection of human faces. experiments show that the method can be effective in complex environments from color images detected no more than about 45 ° rotation of the human face, and from Facial Expression, scale and number of impact, and lower error rate. Platform: |
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Author:lll |
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Description: Log-polar transformation :The function emulates the human "foveal" vision and can be used for fast scale and rotation-invariant template matching, for object tracking etc.download and install opencv 1.1 pre Platform: |
Size: 1024 |
Author:rahman |
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Description: 基于互信息的模板匹配算法，最后通过fminsearch函数寻找全局最小值，以此达到互信息最大，可以对旋转的模板进行比较精确的匹配-rotation template matching using correlation of information，this method can get the precise result Platform: |
Size: 1024 |
Author:王光 |
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Description: 模板匹配以及图片旋转，速度还可以。其中还有测试速度以及多进程测试-Template matching and image rotation, the speed also. Which there are test speed and multi-process testing Platform: |
Size: 849920 |
Author:mion |
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Description: 采用了一种根据灰度特征进行模式匹配的跟踪算法提高了模板匹配法对于目标运动姿
态变化的自适应能力仿真结果表明上述算法在目标方向平移旋转以及图像背景对比度亮度发生改变时均能较好的检测到目标-It is presented
in this paper that a modified version of it which incorporating with frame difference and
multi-resolution matching. By introducing prediction algorithm, it could change initial
searching point, reduce the area of matching and improving operation speed which satisfied the
need of real-time processing. A tracking algorithm which is based on template matching of grey
scale characteristics is introduced to enhance the adaptive ability to target movement of attitude
changing. The computer simulation showed that those algorithms discussed above could detect the
target when its direction, shift and rotation varied in the situation that image background,
contrast and brightness altered. Platform: |
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Author:chen |
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Description: 图像梯度方向应用干旋转不变性模板匹配时存在计算量较大的问题，由此提出一种改进的基于梯度方向码的旋转不变模板匹配
方法，通过计算积分直方图降低统计直方图的计算填，采用像素跳跃的匹配方法减少大量无效的匹配运算。实验结果表明，该方法在保证
匹配准确性的前提下，匹配速度提高了3倍至6倍，可以达到实时性要求。-it uses integral histogram to reduce the
computing COSTS of computer histograms，and uses pixel-jump method to reduce a lot of ineffective matching operalions．Experimental result shows
that the method Can speed up from 3 to 6 times in the premise of ensuring matching accuracy，SO it Can meet real-time requirement． Platform: |
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Author:chen |
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Description: 对灰度差绝对平均值算法匹配次数多，不具有旋转不变性等缺点，提出一种新的目标识别方法。匹配准则采用具
有环形结构的子窗口内的像素差加毂和的形式表示，保证了算法具有旋转不变性。对模板图像中的特征点按照匹配准则分
别在目标图像中找到相应的匹配点，从而完成匹配操作，与传统的相关匹配算法相比，大大减少了匹配次数。对于因遮挡而
丢失的特征点，可根据已匹配特征点之问的相对距离来重新确定，从而实现目标识别的功能。仿真实验验证了该算法的有
效性。-A new target recognition method was proposed to improve the rotation invariancc and reduce the
matching frequency for nu“mum absolute difference．The rrIatching furlction was the weighted sumof pIx—
els difference in sub—windows． The subwindaws were ring-shaped，which made the algorithm have the
property of rotation invariance． Feature points matching between trac ki“g window and template could be
completed according to the matching functiom(bmpare to conventional algorithm，the matching frequency
is reduced The Iost feature points in tracking window could be determined according to the positions of
the feature points nlatched．Simulation results prove the validity of the method． Platform: |
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Author:chen |
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Description: 结合Zernike矩的多尺度模板形状匹配，该算法对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形
状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike矩，利用Zernike矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-Shape matching based on multi-scale template with Zerinike moments，The object shape representation is converted to a dyadic wavelet
representation by wavelet transform. And then calculate the Zernike moments of wavelet representation
in different scales. With respect to property of rotation invariant of Zernike moments and in consideration of Zernike moments as feature vector to calculate the similarity between the object and
template image, the problem of dependency of starting point can be solved. Platform: |
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Author:卢宠 |
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Description: 本文考虑带旋转的人脸检测方法, 提出了一种基于颜色空间以及模板匹配的快速人脸定位方法。首先从常用的颜色空间中选
择出对光照因素稳健的肤色子空间, 然后基于该子空间进行肤色检测方法得到人脸大致区域, 最后采用模板匹配的方法确定人脸区域。
实验结果表明, 该方法速度快, 对于带角度旋转的人脸定位有很好的效果。-In this paper, we consider the face detection method with rotating a template matching fast face location method based on color space. First from the common color space is selected the healthy complexion subspace of illumination factors, skin detection method to obtain the approximate area of the face and then on the basis of the sub-space, and finally using the template matching method determines a face region. The experimental results show that this method is faster, and the rotation for the angled face positioning have a good effect. Platform: |
Size: 77824 |
Author:东方 |
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Description: 模板匹配。根据模板和图像，得到匹配度，旋转度，所耗时间。 可基于此做很多开发-Template matching. According to the template and image matching, rotation, and the time spent. Do a lot of development can be based on Platform: |
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Author:李泽飞 |
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Description: 在将
标准图像和待测图像分别分色的基础上,采用序贯相似性检测算法对各色灰度图像分别进行模板
匹配,并根据匹配数据,对图像进行平移、 缩放及旋转操作,使两幅图像能够在空间上配准-In the standard image and the test image, respectively, based on the separation, using sequential similarity detection algorithm for color gray image, respectively, template matching, and according to the matching data, the image to pan, zoom, and rotation operation, the two image registration can be spatially Platform: |
Size: 396288 |
Author:高嘉瑜 |
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Description: 基于曲线的模板匹配，能完美解决部分遮挡，旋转和尺度变化-Based on the template matching curves can be the perfect solution to partial occlusion, rotation and scale changes Platform: |
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Author:梁大木 |
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Description: 本文提出一种基于图像边缘几何特征的快速模板匹配算法。算法利用边缘
点的位置和梯度方向作为匹配信息进行相似度计算。可以很好的避免因图像明
暗变化、光照不均匀、旋转所带来的影响，且对于部分遮挡的情况，亦可以得
到良好的匹配结果。为了得到边缘点坐标和梯度方向，本文根据曲面拟合原理，
通过平移变换，推导出精确梯度方向和亚像素边缘坐标的快速算法。既加快了
算法的处理速度，也是匹配算法高精度的前提保证。为了使匹配算法满足实时
性要求，主要采用阈值判断和图像金字塔算法的搜索策略。在阈值判断方面，
通过选择一些特殊的边缘点作为试探点，加快了匹配度计算的效率，而且，很
好的避免了在部分遮挡情况下简单阈值判断方法的误判。最后，算法利用最小
二乘平差理论，通过一次近似处理，详细推导出快速获得亚像素级的定位和精
确的旋转精度方法-A fast template matching algorithm based on geometric features of image edges is presented in this paper. Algorithm using edge
The similarity calculation of the position and the gradient direction is used as the matching information. Can be very good to avoid because of the image
The effects of dark changes, illumination and rotation are not uniform.
To a good matching result. In order to obtain the coordinates of the edge points and the gradient direction, this paper is based on the surface fitting principle,
A fast algorithm for accurate gradient orientation and sub pixel edge coordinates is derived by using the translation transformation. Not only speed up
The processing speed of the algorithm is also the premise guarantee of the high precision of the matching algorithm. In order to satisfy the matching algorithm in real time
The search strategy of the threshold judgment and the image Pyramid algorithm is mainly used in the performance requirements. In the threshold judgment,
Platform: |
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Author:liu |
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Search - template matching rotation