作者：
Heckaman, Rodney L.Fairchild, Mark D.Department of Color Science
Chester F. Carlson Center for Imaging Science Rochester Institute of Technology 54 Lomb Memorial Drive Rochester NY 14623-5604
Chester F. Carlson Center for Imaging Science Rochester Institute of Technology 54 Lomb Memorial Drive Rochester NY 14623-5604 Image Science
Munsell Color Science Laboratory Rochester Institute of Technology
A methodology that shows promise for producing a full visual experience, particularly in the emerging High Dynamic Range (HDR)-display media technologies, was demonstrated both empirically and in a limited set of imag...
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A methodology that shows promise for producing a full visual experience, particularly in the emerging High Dynamic Range (HDR)-display media technologies, was demonstrated both empirically and in a limited set of images. Knowledge of the powers of adaptation and CIECAMO2 were exploited to expand the perceptual gamut in lightness, chroma, brightness, and colorfulness beyond the MacAdam Limits of pure spectral colors by simply pushing down the white point of the display. Pushing down the white point is only feasible if contrast resolution is maintained throughout the full dynamic range of the display. The promise of emerging media technologies such as HDR displays capable of displaying the full range of the visual experience should be more than compelling enough to motivate media manufacturers to develop such new standards and devices as these technologies continue to develop.
作者：
宋红石峰Department of Computer Science and Engineering
Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering
Beijing Institute of Technology Beijing 100081 Chinaecurity access control systems and automatic video surveillance systems are becoming increasingly important recently and detecting human faces is one of the indispensable processes. In this paper an approach is presented to detect faces in video surveillance. Firstly both the skin-color and motion components are applied to extract skin-like regions. The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm. Secondly the image is clustered into separated face candidates by using the region growing technique. Finally the face candidates are further verified by the rule-based algorithm. Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to de...
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Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to detect faces in video ***,both the skin-color and motion components are applied to extract skin-like *** skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference ***,the image is clustered into separated face candidates by using the region growing ***,the face candidates are further verified by the rule-based *** results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-s...
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In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability theory was adopted to encompass uncertainty of disparity of points over the window in this study. The proposed stereo matching algorithm has tested on both disparity map and 3D model view. The experimental result shows that remarkable improvement is obtained in the projective distortion region.
In this paper, we propose an adaptive stereo matching algorithm to encompass stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size...
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In this paper, we propose an adaptive stereo matching algorithm to encompass stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability theory was adopted to encompass uncertainty of disparity of points over the window in this study. The proposed stereo matching algorithm has been tested on both disparity map and 3D model view. The experimental results show that remarkable improvement is obtained in the projective distortion region.
It is of great significance to experiment with a simulator for remote sensing to confirm the properties and meaning of remote-sensed information and to forecast certain phenomena. This paper describes a simulator for ...
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It is of great significance to experiment with a simulator for remote sensing to confirm the properties and meaning of remote-sensed information and to forecast certain phenomena. This paper describes a simulator for remote sensing. The simulator, suitable for the measurement of soil moisture, consists of an optical source, a polarimeter, orbital guides for them, and a sample stage. SiC and MgO were used as soil models. The moisture in beach sand was also estimated. The degree of polarization increases with the moisture content and particle size of the sample. The field capacity point of each sample is determined by means of the polarimeter.
The components of an object and the moisture in it can be estimated by measuring the degree of spectral polarization of scattered light from that object. In this paper the degree of spectral polarization of scattered ...
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The components of an object and the moisture in it can be estimated by measuring the degree of spectral polarization of scattered light from that object. In this paper the degree of spectral polarization of scattered light from CuSO(4), CuCl(2), Fe(2)O(3), SiC, S, NiCl(2), and CoCl(2) as models of soil was measured and compared with that of volcanic ash and natural soil. From these results it is estimated that Fe appears in natural soil and Si appears in volcanic ash. The field capacity point of soil was obtained from measurements of the degree of spectral polarization, and it was detected more clearly in a shorter wavelength region (about 400 nm).
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