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International Conference on pattern recognition

作者： Jing Zhang Fanhuai Shi Yuncai Liu Image Processing and Pattern Recognition Institute Shanghai Jiaotong University Shanghai China Image Processing and Pattern Recognition Institute School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai P. R. China

ISBN: (纸本)0769525210

We present a geometric approach to multibody motion segmentation from line correspondences. Given three perspective views containing multiple moving objects, we demonstrate that after applying a polynomial embedding to the line correspondences, they became related by the so-called multibody trilinear constrain and its associated multibody trifocal tensor. We show how to obtain the individual trifocal tensor from the second order derivatives of the multibody trilinear constraint. Given trifocal tensors, we obtain the clustering of the motions and correspondences. Experimental results on synthetic and real dynamic scenes are presented

关键词： Motion segmentation Computer vision Tensile stress Layout Cameras Motion estimation pattern recognition image processing Materials science and technology Polynomials

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Empirically Validating Software Metrics for Risk Prediction Based on Intelligent Methods

Empirically Validating Software Metrics for Risk Prediction ...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Zhihong Xu Xin Zheng Ping Guo Mage Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China

The software systems which are related to national projects are always very crucial. This kind of systems always involves hi-tech factors and has to spend a large amount of money, so the quality and reliability of the software deserve to be further studied. Hence, we propose to apply three classification techniques most used in data mining fields: Bayesian belief networks (BBN), nearest neighbor (NN) and decision tree (DT), to validate the usefulness of software metrics for risk prediction. Results show that comparing with metrics such as Lines of code (LOQ and Cyclomatic complexity (V(G)) which are traditionally used for risk prediction, Halstead program difficulty (D), Number of executable statements (EXEC) and Halstead program volume (V) are the more effective metrics as risk predictors. By analyzing we also found that BBN was more effective than the other two methods in risk prediction

关键词： Software metrics Software systems Software quality Classification tree analysis Data mining Bayesian methods Nearest neighbor searches Neural networks Decision trees Risk analysis

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Distinguishing 3D-Topological Configurations of Two Tori

Distinguishing 3D-Topological Configurations of Two Tori

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International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Adrian Ion Thomas Illetschko Yll Haxhimusa Walter G. Kropatsch Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Austria

Most of the existing work regarding topology preserving hierarchies is mainly preoccupied with 2D domains. But recently attention has turned to 3D, and more generally, nD representations. Even more than in 2D, the necessity for reducing these representations exists and motivates the research in hierarchical structures i.e. pyramids. Using representations that support any dimension, like e.g. the combinatorial map, n dimensional irregular pyramids can be built, thus obtaining reduced representations of the original data, while preserving the topology. This paper presents 3D combinatorial maps and the primitive operations needed to simplify such representations. Minimal configurations of the three primitive topological configurations, simplex, hole, and tunnel, and two possible configurations for two tori are presented. Experimental results and possible applications show the potential of the approach

关键词： Topology image edge detection Geology Solid modeling image segmentation Mechanical factors pattern recognition image processing Automation Shape

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Robot Position Identification Using Specially Designed Landmarks

Robot Position Identification Using Specially Designed Landm...

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IEEE Instrumentation and Measurement Technology Conference

作者： Jie Huang Chunlei Zhao Yoshitaka Ohtake Huakang Li Qunfei Zhao University of Aizu Aizu-Wakamatsu Japan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China

In this paper, we proposed a visual position calibration method using colored rectangle signboards for a mobile robot which is designed to work in a room environment. The rectangle signboards are placed in several known positions. By calculate the vanishing points in the image of the signboard, it is possible to obtain the relative direction and distance between the signboard and the robot by a single image. Experiments of position calibration were conducted. The results showed this method is effective and the errors between the set up positions and the experimental results were about 1.7 degrees and 3 cm when the distance to the signboards was set to 100 cm

关键词： Orbital robotics Calibration Mobile robots Relays Navigation Shape Robot vision systems Cameras Instrumentation and measurement image processing

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Orientation of Fragments of Rotationally Symmetrical 3D-Shapes for Archaeological Documentation

Orientation of Fragments of Rotationally Symmetrical 3D-Shap...

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International Symposium on 3D Data processing Visualization and Transmission

作者： Hubert Mara Robert Sablatnig Institute for Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Motivated by the requirements of modern archaeologists, we are developing a documentation system based on structured light for acquisition of ceramics. Fragments of ceramics are daily finds at excavations and important for archaeological research, because their shape leads to information about ancient cultures. The shapes used for documentation are called profile lines and estimated by a vertical cross-section of orientated fragments. As ceramics have been produced using rotational plates for several thousands of years, the rotational axis can be used for orientation. Therefore we conducted experiments using existing methods for estimation of the rotational axis. The drawbacks of these methods are the requirement of either complete objects or industrialized quality of symmetry. Therefore we show a new method using circle templates, which has been inspired by the manual method of archaeologists. In this work we present results using previous and related work in comparison with the estimation of the rotational axis using circle templates. The results of the presented methods are shown for synthetic data, well-known fragments and real data acquired at an archaeological excavation. Finally a conclusion and an outlook is given.

关键词： Documentation Ceramics Shape Orifices Principal component analysis Automation pattern recognition image processing Manufacturing Filling

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A bidirectional feature selection method based on mutual information and redundancy-synergy coefficient

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Journal of Harbin Institute of Technology(New Series) 2006年第3期13卷 299-306页

作者：杨胜张治施鹏飞 School of Computer and Communication Hunan University Changsha 410082China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

Feature subset selection is a fundamental problem of data mining. The mutual information of feature subset is a measure for feature subset containing class feature information. A hashing mechanism is proposed to calculate the mutual information of feature subset. The feature relevancy is defined by mutual information. Redundancy-synergy coefficient, a novel redundancy and synergy measure for features to describe the class feature, is defined. In terms of information maximization rule, a bidirectional heuristic feature subset selection method based on mutual information and redundancy-synergy coefficient is presented. This study’s experiments show the good performance of the new method.

关键词： mutual information feature selection pattern classification data mining

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Texture and Profile Features for Drawing Media recognition in Underdrawings

Texture and Profile Features for Drawing Media Recognition i...

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International Conference on pattern recognition

作者： M. Lettner R. Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria

ISBN: (纸本)0769525210

In this study we analyze texture and profile features of painted strokes in order to identify the drawing media used for sketching underdrawings. Underdrawings are preliminary drawings on the panel prepared for paintings and are unseen in the finished work. Cameras working in the near infrared range allow the visualization of underdrawings. Due to the tiny width of the strokes we perform an alignment of the feature extraction windows in order to obtain a major content of the stroke texture. The method is tested on strokes applied on test panels and underdrawing strokes in IR images of medieval paintings

关键词： Painting Testing pattern recognition image texture analysis Feature extraction image analysis Paints Art Technological innovation Silver

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Bidirectional feature selection method based on mutual information and redundancy-synergy coefficient

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Journal of Harbin Institute of Technology (New Series) 2006年第3期13卷 299-306页

作者： Yang, Sheng Zhang, Zhi Shi, Peng-Fei School of Computer and Communication Hunan University Changsha 410082 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

Feature subset selection is a fundamental problem of data mining. The mutual information of feature subset is a measure for feature subset containing class feature information. A hashing mechanism is proposed to calculate the mutual information of feature subset. The feature relevancy is defined by mutual information. Redundancy-synergy coefficient, a novel redundancy and synergy measure for features to describe the class feature, is defined. In terms of information maximization rule, a bidirectional heuristic feature subset selection method based on mutual information and redundancy-synergy coefficient is presented. This study's experiments show the good performance of the new method.

关键词： Data mining

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Spam email filtering with bayesian belief network: using relevant words

Spam email filtering with bayesian belief network: using rel...

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IEEE International Conference on Granular Computing (GRC)

作者： Xin Jin Anbang Xu R. Bie Xian Shen Min Yin College of Information Science and Technology Beijing Normal University Beijing China Image Processing & Pattern Recognition Laboratory Beijing Normal University Beijing China

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Detection of small target in infrared image sequences using attention mechanism

Detection of small target in infrared image sequences using ...

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Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Xun Yao Dehua Li Xianbin Sun Institute of pattern recognition and artificial intelligence Key Laboratory of Education Ministry for Image processing & Intelligence Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780393953

The requirement of algorithm for detecting small target in infrared image sequences is not only a high rate to identify the true target and a low false alarm rate, but also the computation efficiency. By employing the selective attention mechanism, biological visual system can interpret a complex incoming image in real time with limited hardware resources. Much evidence has suggested that the biological visual system processes information in a serial strategy which rapidly selects a small relevant region in scene for further complex and time consuming analysis. In this paper, a two component computation scheme is proposed to detect dim targets in infrared image sequences. In the first process stage, an efficient method is applied to extract the potential targets which are further identified in second phase, the true targets are detected, and the spurious objects are rejected. The attention-based approach reduces the computation complexity, while the other performance aspects are not traded off. Experimental results indicate that the proposed extraction and recognition modules exhibit excellent performance of detecting small target in infrared image sequences, especially in process speed aspect.

关键词： feature extraction image sequences infrared imaging biological visual system computation complexity computation efficiency false alarm rate feature extraction image recognition modules infrared image sequences selective attention mechanism small target d

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