Description: 本文提出了有模型指导的三维人体运动跟踪框架，将一个多关节的圆台形状三维人体模型与多个视频图像中的外轮廓、边界、灰度和肤色特征进行匹配，使人体运动跟踪变成一个状态估计问题。并且，使用基于概率模型的粒子滤波算法来完成非线性、非高斯动态系统的状态估计。
-In this paper, the model has guided three-dimensional human motion tracking framework, will be more than one of the frustum of a cone shape of the joints of three-dimensional human body model with a number of video images of the outer contour, border, greyscale and color matching features, so that human motion tracking into a state estimation problem. In addition, the use of probabilistic model based particle filtering algorithm to complete the non-linear, non-Gaussian dynamic system state estimation. Platform: |
Size: 6459392 |
Author:阳关 |
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Description:
基于肤色的人脸检测方法，包括肤色模型建立和肤色分割过程两大部分内容。在比较了颜色空间和两种模型后，选择了在 YCbCr 空间建立高斯模型。输入图像经过相似度计算、阈值分割、最后得到人脸区域。-Based on the color of the face detection methods, including color, model and color segmentation process most of the contents of the two. In comparing the color space and the two models, the choice in the YCbCr space to establish Gaussian model. After the input image similarity computation, threshold segmentation, and finally get face region. Platform: |
Size: 1524736 |
Author:刘向阳 |
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Description: 在yuv颜色空间实验的单高斯模型，用于目标检测-Yuv color space experiments in single-Gaussian model for target detection Platform: |
Size: 1024 |
Author:heshan |
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Description: 在rgb颜色空间实现的单高斯模型，用于目标检测-In rgb color space to achieve a single-Gaussian model for target detection Platform: |
Size: 1024 |
Author:heshan |
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Description: 人脸检测，基于肤色信息的皮肤区域粗检。自适应高斯模型，-Face detection, skin region based on color information, rough inspection. Adaptive Gaussian model Platform: |
Size: 1024 |
Author:yuyang |
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Description: 一种基于肤色分割、区域分析和模板分布的彩色图像人脸检测算法.首先对输入的彩色图像利用混合高斯模型和亮度模型进行分割,然后根据人脸五官的结构特征对得到的区域进一步分析处理,获得所有可能的候选人脸.接着构造了一种基于双眼和人脸模板的概率模型并利用其对候选人脸进行最终检测.-Based on skin color segmentation, regional analysis and the template in color images of face detection algorithm. First, the input color image using mixture Gaussian model and the brightness model segmentation, then under the facial features of the structure on further analysis by region treatment to obtain all possible candidates face. then constructs a template based on the eyes and face the probability model and use its candidates face final test. Platform: |
Size: 586752 |
Author:麦高 |
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Description: This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections Platform: |
Size: 167936 |
Author:Shooty |
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Description: This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matrix. The centroids and
covariance matrices are estimated from large set of
training samples after a k-means clustering process. Pixels
in a color input image can be classified into skin or nonskin
based on the Mahalanobis distances to the three
clusters. Efficient post-processing techniques namely noise
removal, shape criteria, elliptic curve fitting and faceinonface
classification are proposed in order to !inther refine
skin segmentation results for the purpose of face detection. Platform: |
Size: 220160 |
Author:陆 |
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Description: 基于肤色模型的人脸检测程序，通过高斯模型建立相似度函数，再经过最佳阈值法来进行二值化，在经过形态学处理得到人脸区域。-Skin color model based on face detection process, the establishment of the similarity function by the Gaussian model, and then through the optimal threshold method for the two values, obtained after morphological processing face region. Platform: |
Size: 1024 |
Author:地方 |
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Description: 交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先，建立交通信号灯的高斯模型，利用高斯向量与多色彩空间结合的方法进行图像分割。然后，采用基于区域增长与相似性判定的关联滤波，对色彩分割后的图像进行处理。最后，使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征，并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights recognition in complex scenes. Using color segmentation and the associated filtering scheme, the detection of traffic lights. First, the Gaussian model to establish the traffic lights, the use of Gaussian vector with multi-color space for image segmentation. Then, using the associated filter, based on regional growth and the similarity determination processing of the image color segmentation. Finally, the canny operator edge extraction algorithm to obtain the direction indicator profile feature, and use the classification based on improved hu moment invariants and the Mahalanobis distance directional signal lights. Platform: |
Size: 13312 |
Author:谷文彦 |
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Description: 在YCbCr色彩空间中建立肤色分布的高斯模型,得到肤色概率似然图像,在最佳动态阈值选取算法下完成肤色区域的分割。-YCbCr color space to establish the color distribution of the Gaussian model, color probability likelihood image, skin color region segmentation is completed in the best dynamic threshold selection algorithm. Platform: |
Size: 14336 |
Author:liyufei |
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Description: 针靖目前人脸检测方法遵度与精度难以兼有的问题。本文提出了一种嬉合离斯横甓和党持向量机的人膝检测方法。
先载用皮肤颜色在YCbCr窒阍鲢聚类性。蛄肤色建立高斯模型以分制虫可能的人脸菇域。露将迭臻区域输入捌支特向量机
检测并标记出检攫ll结暴!实验结暴证瞬。本文提出的方法捡溅效装令人满意。-Needle Jing compliance degree of accuracy of the face detection method is difficult to both problems. This paper presents a play co-the knee detection method from the people of Sri Lanka cross Pi and the party held vector machine. First set out with skin color clustering of in YCbCr smothering steel silver carp. The Squilla color to create a Gaussian model insects may face a points system mushroom domain. Exposed Diego Pegasus regions to input Ba support special vector machine to detect and mark the seized grab ll junction storm! The experimental junction storm certificate instantaneous. In this paper, the method of picking the splash effect fitted satisfactorily. Platform: |
Size: 362496 |
Author:东方 |
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Description: Image color appearance model (iCAM, image Color Appearance Model) is an adaptive prediction for each pixel still image viewing conditions in which the perception of color appearance model. It uses a Gaussian filter processing simulate the human eye observing the environment, access to pixel adaptive field tristimulus values , to adapt to the absolute brightness of the field and the environment, in this based on the chromatic adaptation transform and predict color appearance perception. Platform: |
Size: 1024 |
Author:POPPY |
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Description: Image color appearance model (iCAM, image Color Appearance Model) is an adaptive prediction for each pixel still image viewing conditions in which the perception of color appearance model. It uses a Gaussian filter processing simulate the human eye observing the environment, access to pixel adaptive field tristimulus values , to adapt to the absolute brightness of the field and the environment, in this based on the chromatic adaptation transform and predict color appearance perception. Platform: |
Size: 3072 |
Author:POPPY |
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Description: Image color appearance model (iCAM, image Color Appearance Model) is an adaptive prediction for each pixel still image viewing conditions in which the perception of color appearance model. It uses a Gaussian filter processing simulate the human eye observing the environment, access to pixel adaptive field tristimulus values , to adapt to the absolute brightness of the field and the environment, in this based on the chromatic adaptation transform and predict color appearance perception. Platform: |
Size: 1024 |
Author:POPPY |
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Description: Image color appearance model (iCAM, image Color Appearance Model) is an adaptive prediction for each pixel still image viewing conditions in which the perception of color appearance model. It uses a Gaussian filter processing simulate the human eye observing the environment, access to pixel adaptive field tristimulus values , to adapt to the absolute brightness of the field and the environment, in this based on the chromatic adaptation transform and predict color appearance perception. Platform: |
Size: 2048 |
Author:POPPY |
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Description: Image color appearance model (iCAM, image Color Appearance Model) is an adaptive prediction for each pixel still image viewing conditions in which the perception of color appearance model. It uses a Gaussian filter processing simulate the human eye observing the environment, access to pixel adaptive field tristimulus values , to adapt to the absolute brightness of the field and the environment, in this based on the chromatic adaptation transform and predict color appearance perception. Platform: |
Size: 1133568 |
Author:POPPY |
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Description: 常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整
体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞
感受野的传输特性,提出一种仿生图像增强算法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度
对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯
模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该算法的增强效果良
好,特别是对于图像边界处,既能很好地增强边缘对比,又可有效地提升区域亮度对比和亮度梯度信息.
-Common image enhancements based on human visual property compress the dynamic range of
images while enhancing the contrast,so that the whole contrast is not high and the effects on edges are
not satisfactory.By analyzing the global and local adaptation of the human visual system and the
transfer property of retinal ganglion cells,an algorithm for biomimetic image enhancement is proposed
in this paper.Firstly a global logarithm transformation is carried out on the whole image to adapt the
sense property of the human visual system secondly the tri-Gaussian model is adopted to adjust the
local contrast based on the local linear relationship between subjective brightness(intensity as
perceived by the human visual system)and the logarithm of the light intensity incident on the eye
finally,a linear transformation is used to convert the enhanced image back to a color image.The
experimental results show that our proposed algorithm has better performance compared to other
methods.In Platform: |
Size: 294912 |
Author:Lyan |
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Description: 在复杂背景下双椭圆模型结合在CbCr和CgCr平面内体现的肤色聚集性和集中性的检测效果要比单高斯模型的效果好。在YCbCr和YCgCr颜色空间中，虽然Y分量和Cb、Cr、Cg分量表示的性质看似是相互独立的，但它们都是建立在红、绿、蓝三个基本颜色分量值的基础上算出来，因此它们之间仍然存在着千丝万缕的关系。根据肤色在两种色彩空间中体现出的聚集性提出CbCr-CgCr双椭圆肤色模型-Good background in complex dual oval model incorporated within CbCr and CgCr plane reflect complexion aggregation and concentration detection results than the single Gaussian model results. And YCgCr in YCbCr color space, although the nature of the Y component and Cb, Cr, Cg component represented appears to be independent of each other, but they are all based on red, green, blue three basic colors based component values get on out Therefore there are still intricate relationship between them. Proposed CbCr-CgCr double ellipse skin model according to reflect the color in both color space clustering Platform: |
Size: 1024 |
Author:曹家敏 |
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Search - color Gaussian model