Description: Simple face and eye detection
MATLAB Release: R13
You can use this codes for face detection based on color segmentation and eye region detection.
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Size: 2129920 |
Author:薛正亮 |
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Description: 对一幅带有人脸信息的24位真彩色bmp文件,通过基于肤色信息的彩色图象分割法,对人脸区域的检测,以及区域标定-On a piece of information with a human face 24 true color bmp files, color information based on color image segmentation method of human face region detection, as well as regional calibration Platform: |
Size: 771072 |
Author:王媛琼 |
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Description: 有YCrCb色彩系统的肤色区域检测，边缘提取以及膨胀腐蚀，txt文件格式。-YCrCb color system has the color region detection, edge extraction and the expansion of corrosion, txt file format. Platform: |
Size: 2048 |
Author:赵菁 |
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Description: 本程序能实现人脸检测，在经过人脸区域检测、人眼的检测定位、人嘴的检测定位，最后勾画出人脸。-This procedure enables Face Detection, after facial region detection, the human eye detect the positioning of the detection of human mouth positioning, and finally lays out a human face. Platform: |
Size: 642048 |
Author:张金泉 |
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Description: Summary: Simple face and eye detection
MATLAB Release: R13
Description: You can use this codes for face detection based on color segmentation and eye region detection. -Summary: Simple face and eye detection MATLAB Release: R13 Description: You can use this codes for face detection based on color segmentation and eye region detection. Platform: |
Size: 2166784 |
Author:风帆 |
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Description: 人脸检测测试程序, 提供了图像预处理, 人脸区域检测, 人嘴检测, 人眼检测, 人嘴检测的算法和实现.-Face detection test procedures to provide image preprocessing, face region detection, human mouth detection, eye detection, mouth detection algorithm people and realized. Platform: |
Size: 1122304 |
Author:刘志远 |
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Description: 一个非常好的人脸检测算法，可以进行补光处理，人脸区域的检测，人嘴眼的定位匹配-A very good face detection algorithm, can deal with fill light, Face region detection, human mouth to match the positioning of eyes Platform: |
Size: 985088 |
Author:ktj |
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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: |
Size: 191488 |
Author:lll |
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Description: 介绍图像中字符区域检测算法的研究：图像中的文字信息在一定程度上反映了图像主要内容，因此对于图像中的文字进行检测是非常有意义的。本文采用了基于字符的纹理特征的方法，在D C T 域中对字符进行检测，从而将图像中的字符区域检测出来，最后用matlab进行了验证，实验表明该方法能够取得较好结果。-Introduction character image region detection algorithm research: images of a text message to some extent, reflect the main content of the image, so the text in the image test is very meaningful. In this paper, a character-based method of texture features, in the DCT domain detection of the characters, so characters in the image region detected, and finally use matlab to verify the experiment shows that the method can achieve better results. Platform: |
Size: 462848 |
Author:alsocc |
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Description: 人脸检测和跟踪学位论文；人脸检测定位：运动区域检测预处理， 肤色区域的分割和利用二值形态学等操作的人脸粗检，利用眼、嘴特征的彩色信息检测的人脸细检，利用投影法检测眼睛和嘴巴亮块的人脸定位。提出了一种基于自适应肤色模型匹配与验证的方法对人脸进行跟踪-Face detection and tracking dissertation Face Detection positioning: Sports regional detection pretreatment, color region segmentation and the use of binary morphological operations, such as human faces rough seizure, the use of eyes, mouth features detection of color information Face Fine Frederick, using projection method bright eyes and mouth block face positioning. A model based on adaptive color matching and validation of the method of face tracking Platform: |
Size: 3622912 |
Author:田卉 |
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Description: 本光盘共包括三个工程，分别是用于实现数字图像基本处理算法的DimageProcess工程，
用于实现图像融合的PixelFusion工程和用于人脸识别的FaceDetection工程。
关于程序的运行，
DImageProcess工程只需载入Bmp格式的文件，便可通过菜单实现各种处理算法，
需要强调一点，其只对256色格式的图片进行处理。
PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp，
而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。
FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-This CD-ROM includes a total of three projects, namely, for the realization of the basic digital image processing algorithms DimageProcess project
Used to achieve image fusion PixelFusion engineering and construction for face recognition FaceDetection.
With regard to program operation,
DImageProcess works just load Bmp file format can be achieved through the menu, a variety of processing algorithms,
Need to emphasize that its only 256-color format for image processing.
PixelFusion engineering program runs, users must load two pictures, one panchromatic image selection for a given image spot.bmp,
The multi-spectral images was given a picture tm.bmp. Then the user can select a variety of fusion algorithms to fuse.
FaceDetection project run-time, first through the file "Open to load image face.bmp, which can only proceed after face detection
Operation, needs to be emphasized is the human face region detection, eye detection and location, human mouth detection and position Platform: |
Size: 22050816 |
Author:马子领 |
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Description: 提出了一种基于肤色的精确人脸定位算法,详细叙述了在图片的颜色调整与肤色检测,肤色区域的平滑、
分割与填充,候选眼睛的选取及配对中遇到的具体问题并提出了解决方案. 本算法能较为准确地定位彩色图像
中的正面、小角度偏侧和旋转的人脸,还能检测出一幅图中的多个人脸.-Presents a human face based on skin color precision positioning algorithm, described in detail in the image color adjustment and color detection, color, region, smooth, split with the filling, the candidate selection and matching eyes, the specific problems encountered and suggested a solution program. This algorithm can be more accurately positioned in color images of the positive, unilateral small-angle and rotation of the face, but also detected a diagram of the multi-person face. Platform: |
Size: 222208 |
Author:hope |
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Description: SUSAN角点检测算法经典文献
This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results.-This paper describes a new approach to low level image processing in particular, edge and corner
detection and structure preserving noise reduction.
Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each
pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature
detectors are based on the minimization of this local image region, and the noise reduction method uses this region
as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.
Details of the new feature detectors and of the new noise reduction method are described, along with test results. Platform: |
Size: 828416 |
Author:nana |
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Description: 该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。-This document contains codes and the corresponding paper. The aim is to simulate a physiological characteristic of human visual system called visual attention mechanism. The code is used to detect salient objects or regions following the way human eye observes the world. The relation between density and scale of salient object/region is described. It has found widespread use in numerous applications such as biological vision simulation, visual object detection, visual object tracking, visual intelligent surveillance, visual physiological, and visual psychology. Platform: |
Size: 4237312 |
Author:朱亮亮 |
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Description: 实现图像显著图计算，CVPR2011，“Global Contrast based Salient Region Detection”所用代码。-The C++ implementation of the paper “Global Contrast based Salient Region Detection”，cvpr2011 Platform: |
Size: 19456 |
Author:zgk |
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Description: 基于全局对比度的显著性区域检测，包括基于直方图对比度和基于区域对比度-Based on the significant global contrast region detection, including histogram-based contrast and contrast-based regional Platform: |
Size: 680960 |
Author: |
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Description: Saliency filters: Contrast based filtering for salient region detection文章的源代码-the code of paper Saliency filters: Contrast based filtering for salient region detection Platform: |
Size: 530432 |
Author:郑玉 |
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Search - Region Detection