Description: waston human visual model source code
内容概要: 人类感知模型原码！
-waston human visual model source code outline : Human Perception original model code! Platform: |
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Author:谢 |
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Description: 一种基于视觉模型的DCT数字水印算法
提出了一种水印系统与人眼视觉模型相结合的离散余弦变换数字水印算法。该算法利用了人眼视觉模型
(Hvs)来选取水印嵌入区域，使其既能够保证水印信息的鲁棒性又能够满足其不可见性。利用基于能量关系的算法进
行水印嵌入。最后进行了仿真实验，嵌入水印的图像中很难发现水印的痕迹，具有较高的清晰度。-based on the visual model DCT digital watermarking algorithm presents a watermarking system and the human visual model Guitar with the discrete cosine transform digital watermarking algorithm. The algorithm uses the human visual model (Hvs) to select embedding region, it is to ensure watermark robustness is not able to meet its visibility. Based on the energy use of the embedded watermark algorithm. Finally, the simulation experiments, the embedded watermark image watermark is difficult to find traces of high clarity. Platform: |
Size: 717187 |
Author:ghostsx |
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Description: waston human visual model source code
内容概要: 人类感知模型原码！
-waston human visual model source code outline : Human Perception original model code! Platform: |
Size: 3072 |
Author:谢 |
Hits:
Description: 一种基于视觉模型的DCT数字水印算法
提出了一种水印系统与人眼视觉模型相结合的离散余弦变换数字水印算法。该算法利用了人眼视觉模型
(Hvs)来选取水印嵌入区域，使其既能够保证水印信息的鲁棒性又能够满足其不可见性。利用基于能量关系的算法进
行水印嵌入。最后进行了仿真实验，嵌入水印的图像中很难发现水印的痕迹，具有较高的清晰度。-based on the visual model DCT digital watermarking algorithm presents a watermarking system and the human visual model Guitar with the discrete cosine transform digital watermarking algorithm. The algorithm uses the human visual model (Hvs) to select embedding region, it is to ensure watermark robustness is not able to meet its visibility. Based on the energy use of the embedded watermark algorithm. Finally, the simulation experiments, the embedded watermark image watermark is difficult to find traces of high clarity. Platform: |
Size: 716800 |
Author:ghostsx |
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Description: Visual Recognition: Computational Models and Human Psychophysics PhD thesis.
加州理工李菲菲的博士学位论文。
主要内容包括基于分类的目标识别研究：
1、costellation model
2、pLSA/LDA model
的目标识别研究。-Visual Recognition: Computational Models and Human Psychophysics PhD thesis. Caltech Professor Lee Platform: |
Size: 15333376 |
Author:eleyanz |
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Description: Land关于人类视觉的亮度和色彩恒常性的最近一个retinex算法模型已经实现并通过了图像处理实验的测试。 早先的研究虽然确定了Land的retinex算法的数学基础,但是他的亮度理论却并没有得到广泛的图像处理实验的支持。我们应该因为这种Retinex算法作为人类光亮和色彩知觉的模型的准确性定义一个没有特例的实际的retinex的实现方式。-Land on the human visual brightness and color constancy of a recent Retinex algorithm model has been achieved through the image processing experimental testing. Although previous studies have identified a Land Platform: |
Size: 2931712 |
Author:曾和 |
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Description: 基于立体视觉测量系统的人体三维点云模型的重构-Three-dimensional measurement system based on human visual three-dimensional point cloud model of the reconstruction Platform: |
Size: 83968 |
Author:李雪莉 |
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Description: 视觉注意力模型，寻找感兴趣区域，模仿人眼找出最感兴趣的区域，再找出第二感兴趣的区域，以此类推-Visual attention model to find the region of interest, to imitate the human eye to identify the most interesting region, and then find the second region of interest, and so on Platform: |
Size: 5521408 |
Author:panda |
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Description: 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature detection algorithms are required for applying to those tasks.
This paper presents the algorithms for all types of face images in the presence of several image conditions. There are two main stages. In
the first stage, the faces are detected from an original image by using Canny edge detection and our proposed average face templates.
Second, a proposed neural visual model (NVM) is used to recognize all possibilities of facial feature positions. Input parameters are
obtained from the positions of facial features and the face characteristics that are low sensitive to intensity change. Finally, to improve
the results, image dilation is applied for removing some irrelevant regions. Additionally, the algorithms can be extended to rotational
invariance problem by using Radon tran Platform: |
Size: 3771392 |
Author:刘宋 |
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Description: 几种著名的人类视觉模型，包括Chou and Li s JND Model，DCTune Andrew B.Watson.，Jnd Model by X.H.Zhang。在图像识别等相关领域有广泛的应用。-several classical human visual models including Chou and Li s JND Model，DCTune Andrew B.Watson.，Jnd Model by X.H.Zhang Platform: |
Size: 7168 |
Author:zhu xs |
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Description: Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set of specific receptive fields. The properties of the network are detailed in this paper. Simulation results show that the network is able to perform image feature extraction within a time interval of 100 ms. This processing time is consistent with the human visual system. The demonstrations show how the network can extract right-angle contours in a visual image. Based on this principle, many other image features can be extracted by analogy. The parallel processing mechanism of this network model is very promising for a hardware implementation based on VLSI or FPGA technology. Platform: |
Size: 288768 |
Author:sacoura31 |
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Description: 机器人足球比赛是一项非常复杂的高技术对抗活动,其中快速准确地识别小球和机器
人小车是决策及控制的基础.在足球机器人视觉跟踪中,颜色信息是最主要的识别分割依据,
由于HSV模型更接近人眼对颜色的感知,在不同光照条件下,色调参数H数值较稳定,比较适
合用做识别处理的基础.因此使用色调H和亮度V作为识别颜色的参数,同时为了提高识别速
度,作了一些改进,并提出一种橙色高尔夫球和机器人小车的快速识别算法.试验快速准确,证
明了该算法的可靠性和有效性
-Robot soccer is a very complex high-tech combat activities, which quickly and accurately identify the small ball and robot car is the basis for decision-making and control. In the Soccer Robot visual tracking, the color information is the most important basis for identification of segmentation , due to HSV model is more close to the human eye' s perception of color in different lighting conditions, color parameters of H values was more stable, more suitable for use as the basis for recognition processing. Therefore, the use of hue H and V brightness of the color used to identify the parameters, and in order increase the recognition speed, made some improvements, and propose a robotic car orange golf and fast recognition algorithm. quick and accurate tests proved the reliability and validity of the algorithm Platform: |
Size: 62464 |
Author:zhangjianli |
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Description: 基于生物特征的识别技术是一门利用人类特有的个体特征来证实个人身份的科学,它提供了一种基于唯一的、高可靠性和稳定的人体生物特征的新的身份鉴别途径,是身份识别的一种最安全的方式。人脸是人类视觉中最为普遍的模式,人的面部所表现的视觉信息在社会交流和交往中有着重要的作用和意义。虽然近几十年来出现了大量的人脸检测与识别的算法,但识别率、识别速度以及算法鲁棒性等方面还是不够理想。因此本文对人脸检测与识别进行了深入地研究-Based on biometric identification technology is a use of human-specific individual characteristics to confirm the personal identity of science, it provides a single-based, high reliability and stability of human biological characteristics of the new way of identification, identity identified one of the most secure way. Face is the most common human visual model, the human face of the performance of the visual information in social communication and interaction plays an important role and significance. Although there have been massive in recent decades, face detection and recognition algorithms, but the recognition rate, recognition speed and robust algorithms, etc., or less than ideal. Therefore, this article on the human face detection and recognition of in-depth study of Platform: |
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Author:夏天 |
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Description: 本文提出一种基于高斯- 马尔科夫
随机场模型，首先通过图像采集及激光测距系统，采集大量图像及其相匹配的深度信息图，在
人类视觉系统基础上，提取图像特征，通过训练完善模型，并应用于新采集图像上-This paper presents a Gauss- Markov random field model, first by image acquisition and laser ranging system, collecting a large number of images to match the depth of information and maps, in the human visual system based on image feature extraction, through training improve the model, and applied to the new image acquisition Platform: |
Size: 268288 |
Author:liujia_xian |
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Description: 基于人眼视觉模型的双正交小波变换算法，通过实验验证,该算法在对嵌入水印后的图像进行有损压缩、剪切、污染、添加各种噪声等处理后,提取出的水印仍表现出了较好的鲁棒性。-Human visual model based on biorthogonal wavelet transform algorithm, experiments show that the algorithm of the watermarked image lossy compression, shear, pollution, after adding all kinds of noise, the performance of the extracted watermark is still a good robustness. Platform: |
Size: 352256 |
Author:rhyme |
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Description: 该文提出了一种新的静态图像水印技术,它基于人眼视觉系统模型,利用了
图像的多尺度融合技术,可将任意的图像水印添加到载体图像中-This paper presents a new static image watermarking technology, which is based on human visual system model, using multi-scale image fusion technology, any image can be added to the carrier image watermark Platform: |
Size: 198656 |
Author:陈万虹 |
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Description: Perceptual Watermarking should take full advantage of the
results from human visual system (HVS) studies. Just
noticeable difference (JND), which refers to the maximum
difference that the HVS does not perceive, gives us a way to
model the HVS accurately. In this paper, we exploit a
combined JND model which represents additional accurate
perceptual visibility threshold profile to guide watermarking
for digital images.
Platform: |
Size: 1069056 |
Author:SKP |
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Description: 提出一个小波域多尺度马尔柯夫随机场模型用于模拟视觉系统在图像分割中的若干功能。针对人类视觉系统具有特征检测器、等级层次性、双向连续性、学习机制等功能，对输入场景，该模型用小波变换提供该场景图像的稀疏表示，模拟特征检测器功能 用金字塔结构模拟等级层次性 用两类信息流模拟双向连接性，分别刻画自底向上的输入图像特征提取过程以及自顶向下的反馈过程 用迭代过程模拟学习机制 采用多尺度马尔柯夫随机场模型实现图像分割。-Put forward a wavelet domain multi-scale markov random field model used to simulate the visual system in image segmentation of some function. According to human visual
Sleep system has feature detector, grade level, two-way continuity, learning mechanism, and other functions, to input scene, this model using wavelet transform provides the scene image sparse said, simulation feature detector function Use the pyramid structure simulation grade level Use two kinds of information flow simulation two-way connectivity, respectively depict bottom-up input image feature extraction process and the top-down feedback process Using iterative process simulation study mechanism Using multi-scale markov random field model to realize image segmentation. Platform: |
Size: 691200 |
Author:张钰倩 |
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Description: In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature-In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature Platform: |
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Author:atefe |
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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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Search - Human Visual Model