The proceedings contain 37 papers. The topics discussed include: an effective multi-level algorithm based on simulated annealing for bisecting graph;exact solution of permuted submodular MinSum problems;efficient shap...
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ISBN:
(纸本)9783540741954
The proceedings contain 37 papers. The topics discussed include: an effective multi-level algorithm based on simulated annealing for bisecting graph;exact solution of permuted submodular MinSum problems;efficient shape matching via graph cuts;simulating classics mosaics with graph cuts;an energy minimisation approach to attributed graph regularisation;a pupil localization algorithm based on adaptive gabor filtering and navigating radial symmetry;decomposing document images by heuristic search;skew detection based on elongate feature;active appearance models fitting with occlusion;combining left and right irises for personal authentication;bottom-up recognition and parsing of the human body;an automatic portrait system based on and-or graph representation;and object category recognition using generative template boosting.
Combining different modalities for patternrecognition task is a very promising field. Basically, human alwaysfuse information from different modalities to recognize object and perform inference, etc. Audio-Visual gen...
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ISBN:
(纸本)9780819469526
Combining different modalities for patternrecognition task is a very promising field. Basically, human always
fuse information from different modalities to recognize object and perform inference, etc. Audio-Visual gender
recognition is one of the most common task in human social communication. Human can identify the gender
by facial appearance, by speech and also by body gait. Indeed, human gender recognition is a multi-modal
data acquisition and processing procedure. However, computational multimodal gender recognition has not
been extensively investigated in the literature. In this paper, speech and facial image are fused to perform a
mutli-modal gender recognition for exploring the improvement of combining different modalities.
In this paper, a face recognition method using local qualitative representations is proposed to solve the problem of face recognition in varying lighting. Based on the observation that the ordinal relationship between...
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ISBN:
(纸本)9780819469526
In this paper, a face recognition method using local qualitative representations is proposed to solve the problem of face recognition in varying lighting. Based on the observation that the ordinal relationship between the average brightness of image regions pair is invariant under lighting changes, Local Binary Mapping is defined as an illumination invariant for face recognition based on Local Binary pattern descriptor, which extracts the local variance features of an image. For the 'symbol' feature vector, hamming distance is used as similarity measurement. It has been proved that the proposed method can provide the accuracy of 100 percent for subset 2, 3, 4 and 98.89 percent for subset 5 of the Yale facial database B when all images in subset 1 are used as gallery.
Consensus building in group support systems relies on the mutual-question and mutual-elicitation of experts, so a feedback mechanism is required to conduct experts to converge their thinking by visualizing the individ...
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ISBN:
(纸本)9780819469526
Consensus building in group support systems relies on the mutual-question and mutual-elicitation of experts, so a feedback mechanism is required to conduct experts to converge their thinking by visualizing the individual opinion and the consistent state of the group. This paper proposes a new feedback mechanism, which first clusters the experts' preferences into a set of subgroups, and then uses different line-types or line-colors to display the clustered opinions in parallel coordinate. By using this mechanism, the group consistency is analyzed and the group discussion is conducted efficiently. One of the characteristics of the proposed method is that it can protect the minority views automatically. An example is presented to illustrate the application of the method.
This three-part series describes how a variety of methods adapted from computervision, image analysis, and patternrecognition can be applied to visual arts and help answer questions in art history. In this final ins...
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This three-part series describes how a variety of methods adapted from computervision, image analysis, and patternrecognition can be applied to visual arts and help answer questions in art history. In this final installment, David Stork discusses how shapes can be described. He outlines the challenges in quantifying shape and form analysis, and describes how techniques to compare shapes may be used to compare paintings to, for example, determine how a copy was made
Scientists on the ground need understand the environment around the unmanned lunar rover in lunar exploration through analyzing data obtained by various payloads. There are two main material on the moon, high land mat...
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ISBN:
(纸本)9780819469526
Scientists on the ground need understand the environment around the unmanned lunar rover in lunar exploration through analyzing data obtained by various payloads. There are two main material on the moon, high land material and mare material on the moon. We use reflectance spectrums of lunar soils from Apollo mission measured by LSCC to classify the two kinds of materials. Principal component analysis is applied to reduce and select the feature of the reflectance spectrums. These features input support vector machine, which base on statistical learning theory and is used widely to classify in modem patternrecognition. Our work shows that the reflectance spectrums of lunar soils are strong link with the material which they represent.
A new similarity measure based on Hausdorff Distance Matrix Frobenius Norm for object matching is proposed in this paper. This measure is more reliable and can achieve higher location accuracy compared with other meas...
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ISBN:
(纸本)9780819469526
A new similarity measure based on Hausdorff Distance Matrix Frobenius Norm for object matching is proposed in this paper. This measure is more reliable and can achieve higher location accuracy compared with other measures based on classic and modified Hausdorff Distance under the condition of high level noise and high ratio occlusion of template. The search strategy based on genetic algorithms is employed to make algorithm faster. Experimental results under noise of different level demonstrate high performance of the matching algorithm.
Put forward a method of 3D point reconstruction from an image taken by monocular camera. In algorithm, the coordinate conversion factor of the given point can be calculated through a pair of parallel lines, whose posi...
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ISBN:
(纸本)9780819469526
Put forward a method of 3D point reconstruction from an image taken by monocular camera. In algorithm, the coordinate conversion factor of the given point can be calculated through a pair of parallel lines, whose positions in the scene are known. Then reconstruction of any points in 3D space which contains parallel lines can be achieved using the coordinate conversion factor. In experiments, the algorithm is used to estimate the trajectory of walking people.
In this paper. we integrate a pair of CCD cameras and a digital pan/title of two degrees of freedom into a binocular stereo vision system, which simulates the panoramic cameras system of the lunar rover. The constrain...
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ISBN:
(纸本)9780819469526
In this paper. we integrate a pair of CCD cameras and a digital pan/title of two degrees of freedom into a binocular stereo vision system, which simulates the panoramic cameras system of the lunar rover. The constraints for placement and parameters choice of the stereo cameras pair are proposed based on science objective of Chang'e-Ilmission. And then these constraints are applied to our binocular stereo vision system and analyzed the location precise of it. Simulation and experimental result confirm the constraints proposed and the analysis of the location precise.
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