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...
详细信息
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.
Residential real estate price is one of the key components of our economic developments and has also been a major concern of the public, bank industry, government, and investors. The accurate estimation of the sale pr...
详细信息
We have proposed and discussed optical patternrecognition algorithms for object tracking based on nonlinear equivalent models and subtraction of frames. Experimental results of suggested algorithms in Mathcad and Lab...
详细信息
ISBN:
(纸本)9781510600546
We have proposed and discussed optical patternrecognition algorithms for object tracking based on nonlinear equivalent models and subtraction of frames. Experimental results of suggested algorithms in Mathcad and LabVIEW are shown. Application of equivalent functions and difference of frames gives good results for recognition and tracking moving objects.
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...
详细信息
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.
Camera calibration is the first step of computervision and one of the most active research fields nowadays. In order to improve the measurement precision, the internal parameters of the camera should be accurately ca...
详细信息
ISBN:
(纸本)9781510600546
Camera calibration is the first step of computervision and one of the most active research fields nowadays. In order to improve the measurement precision, the internal parameters of the camera should be accurately calibrated. So one high-accuracy camera calibration algorithm is proposed based on the images of planar targets or tridimensional targets. By using the algorithm, the internal parameters of the camera are calibrated based on the existing planar target at the vision-based navigation experiment. The experimental results show that the accuracy of the proposed algorithm is obviously improved compared with the conventional linear algorithm, Tsai general algorithm, and Zhang Zhengyou calibration algorithm. The algorithm proposed by the article can satisfy the need of computervision and provide reference for precise measurement of the relative position and attitude.
Traditional photoelectric monitoring is monitored using a large number of identical cameras. In order to ensure the full coverage of the monitoring area, this monitoring method uses more cameras, which leads to more m...
详细信息
ISBN:
(纸本)9781510617223;9781510617216
Traditional photoelectric monitoring is monitored using a large number of identical cameras. In order to ensure the full coverage of the monitoring area, this monitoring method uses more cameras, which leads to more monitoring and repetition areas, and higher costs, resulting in more waste. In order to reduce the monitoring cost and solve the difficult problem of finding, identifying and tracking a low altitude, slow speed and small target, this paper presents spatial vision network for low-slow-small targets recognition. Based on camera imaging principle and monitoring model, spatial vision network is modeled and optimized Simulation experiment results demonstrate that the proposed method has good performance.
As high brightness of laser spot, it significantly distinguish from the other goals on objects surface. Therefore, in computervision, laser spot often is applied as interaction tools, and an important measurement too...
详细信息
ISBN:
(纸本)9780819485786
As high brightness of laser spot, it significantly distinguish from the other goals on objects surface. Therefore, in computervision, laser spot often is applied as interaction tools, and an important measurement tool etc. In building large-scale multi-projection display system, accurate measurement of geometrical parameters is very important. Based on subdivision mesh, this paper presents laser spot tracking algorithm with sub-pixel precision. The experimental data validates this algorithm sub-pixel precision.
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...
详细信息
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...
详细信息
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.
暂无评论