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Description: 基于积分图像的人脸图像光线归一化程序，内含处理结果对照图。-based on the integral image Face Image light under a program containing the results of the control plan.
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Size: 102182 |
Author: 李啸 |
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Description: 改进的矩阵操作类,增加了诸如对矩阵任意行/列的存取,矩阵的积分图像的计算等-improved matrix operations, such as the right to increase the matrix arbitrary line/column access, image matrix of the integral calculation
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Size: 16384 |
Author: 胡文静 |
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Description: 基于积分图像的人脸图像光线归一化程序，内含处理结果对照图。-based on the integral image Face Image light under a program containing the results of the control plan.
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Size: 102400 |
Author: 李啸 |
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Description: 将图像序
列中的每一帧图像分别沿水平和垂直方向进行积分投影形成两个积分投影向量,并应用基于梯度
的一维平移估计技术处理,从而精确地获取二维空间上的平移量。-image sequence of images for each frame along the horizontal and vertical direction integral projection formed two integral projection Vector and applications based on the one-dimensional gradient estimated translation technology, thereby obtaining accurate two-dimensional space on the volume of translation.
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Size: 273408 |
Author: 李杰 |
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Description: 图象特征区域的提取
具体是用积分的方法实现的-Image Feature Extraction region specific approach is integral to achieve the
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Size: 1024 |
Author: 宁福星 |
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Description: 一个是求一个图像的垂直和水平的灰度积分投影，一个是将视频转化成帧。可运行-One is seeking an image of the vertical and horizontal integral projection of the gray one is framing the video conversion. Run
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Size: 1024 |
Author: 晓晖 |
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Description: 寻找积分投影直方图的谷集并标识出来，matlab实现并有详细说明。-Find integral projection histogram Valley set and marked, matlab and a detailed description of the achievement.
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Size: 1024 |
Author: duzhibin |
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Description: 获得积分图像，用于目标检测和识别中对图像进行预处理-get integral image
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Size: 1024 |
Author: 夏晓珍 |
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Description: 二维的OTSU二值化代码，利用integral image 技术，速度极快！-2D OTSU using integral image techique. It s very fast!
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Size: 3072 |
Author: shaohu |
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Description: 一个关于real adaboost的paper，里面也介绍了integral image的理论，这是我研究人脸辨识的参考资料。-A paper about real adaboost , which also introduce the theory of integral image. This is my reference of face detection.
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Size: 784384 |
Author: Kevin Hsieh |
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Description: 这片论文描述了动态物体的特征跟踪，用到了15个框架。拥有很强的适应性和跟踪能力。作为人脸识别，模式识别，动态跟踪的开发人员，有很好的参考价值。用c++编写，如果用OpenCV更好-This paper describes a visual object detection framework that is capable of processing
images extremely rapidly while achieving high detection rates. There are three
key contributions. The first is the introduction of a new image representation called the
“Integral Image” which allows the features used by our detector to be computed very
quickly. The second is a learning algorithm, based on AdaBoost, which selects a small
number of critical visual features and yields extremely efficient classifiers [4]. The
third contribution is a method for combining classifiers in a “cascade” which allows
background regions of the image to be quickly discarded while spending more computation
on promising object-like regions. A set of experiments in the domain of face
detection are presented. The system yields face detection performance comparable to
the best previous systems [16, 11, 14, 10, 1]. Implemented on a conventional desktop,
face detection proceeds at 15 frames per second
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Size: 784384 |
Author: lai |
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Description: In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, distinctiveness, and robustness, yet
can be computed and compared much faster.
This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a
distribution-based descriptor) and by simplifying these methods to the
essential. This leads to a combination of novel detection, description, and
matching steps. The paper presents experimental results on a standard
evaluation set, as well as on imagery obtained in the context of a real-life
object recognition application. Both show SURF’s strong performance.-In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, distinctiveness, and robustness, yet
can be computed and compared much faster.
This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a
distribution-based descriptor) and by simplifying these methods to the
essential. This leads to a combination of novel detection, description, and
matching steps. The paper presents experimental results on a standard
evaluation set, as well as on imagery obtained in the context of a real-life
object recognition application. Both show SURF’s strong performance.
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Size: 686080 |
Author: yangwei |
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Description: 方向梯度直方图计算，运用了积分图的计算方法，可用于人体检测等-Gradient of orientation, using integral image, for human body detetection.
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Size: 8192 |
Author: tuzhiguo |
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Description: This code is create integral image from gray scale image (gray scale only). It used openCV function build in visual C++ 32 application console.
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Size: 1463296 |
Author: Tawan |
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Description: This file is used for integral projection of an image.
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Size: 254976 |
Author: ravi |
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Description: 最小邻域均值投影函数及其在眼睛定位算法.提出一种投影函数：最小邻域均值投影函数．该函数通过计算每条投影线上各像素点邻域均值的最小值
来跟踪图像中的低灰度特征．与传统的积分投影函数和方差投影函数相比，它以求最小值的局部选择性代替传统投
影函数的全局累加性，因此具有对片状噪声不敏感的特点、此外，在计算过程中，它还能记录最小值点的二维位置信
息，是一个二维的搜索算子、最小邻域均值投影函数的这些特点使其非常适合于眼睛定位．它对眼睛，特别是瞳孔，总
能够产生精确、鲁棒的响应通过在CAS—PEAL数据库和BioID数据库上的实验表明，其定位正确率与精确度均高
于传统的投影函数．-A projection function called minimal neighborhood mean projection function(MNMPF)is proposed．
The projection function calculates and stores the minimal neighborhood mea1]of each pixel on each projection line，
SO that it is able to trace the low grayscale features in image．Compared with traditional projection functions，i．e．
integral projection function(IPF)and variance projection function(VPF)，MNMPF is insensitive to sheet noise，due
to the local selectivity of its mimmum operation．During the computation of MNMPF,the image locations of
minima are recorded at the same time．This makes MNMPF a 2D operator．All these properties of MNM PF are very
suitable for eye location．It can bring precise and robust response to eyes，especially pupils．Experiments on
CAS—PEAL and BioID databases show its excellent correct rate and precision over traditional projection functions．
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Size: 436224 |
Author: 郭事业 |
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Description: 整数小波变换与图像压缩 用MatLAB实现图像的整数小波变换，对行和列各做一次。采用最简单的S小波，它是Haar变换的整数形式。-integral wavelet transform and image compression .To realize the integral wavelet transform based on the Matlab in rows and columns. Using the simple S wavelet ,which is integral form of the Haar transform
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Size: 1024 |
Author: 李颀 |
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Description: Bradley, D., Roth, G., June 2007
We present a technique for real-time adaptive thresholding
using the integral image of the input. Our technique is an extension of a previous method. However, our solution
is more robust to illumination changes in the image. Additionally, our method is simple and easy to implement.
Our technique is suitable for processing live video streams at a real-time frame-rate, making it a valuable tool for
interactive applications such as augmented reality.
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Size: 553984 |
Author: 王扶助 |
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Description: 利用灰度积分投影直接对输入的人脸图像进行检测，并进行眼睛的定位-Using gray integral projection directly on the input of face image detection, and eye location
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Size: 365568 |
Author: 小小 |
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Description: 图片的积分处理，对图像数据进行积分处理等等
-Generate the integral image ，Image data integration processing
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Size: 2048 |
Author: sswei |
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