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International Conference on Computer Vision (ICCV)

作者： Katsoulas Institute for Pattern Recognition and Image Processing University of Freiburg Germany

Automatic unloading of piled box-like objects is undoubtedly of great importance to the industry. In this contribution a system addressing this problem is described: we employ a laser range finder for data acquisition, and globally deformable superquadrics for object modeling. Our technique is based on a hypothesis generation and refinement scheme. The vertices of the piled objects are extracted and superquadric seeds are aligned at these vertices. The model parameter recovery task is decomposed into two subproblems, each dealing with a subset of the model's parameter set. Both region and boundary based information sources are used for parameter estimation. Compared to a widespread strategy for superquadric recovery, our method shows advantages in terms of robustness and computational efficiency. In addition, our system exhibits versatility with regard to existing industrial systems, since it can effectively deal with both neatly placed and jumbled configurations of objects.

关键词： Parameter estimation Robustness image segmentation Laser modes Deformable models Computational efficiency Service robots Parametric statistics Computer vision pattern recognition

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Fast sar image matching algorithm in naviglation system

Fast sar image matching algorithm in naviglation system

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2003 IEEE Aerospace Conference

作者： Li, Yang Xin, Yuan Shuhua, Wang Institute of Image Processing and Pattern Recognition Shanghai JiaoTong University 1954 HuaShan Road 200030 Shanghai China Nanjing University of Aeronautics and Astronautics 29 YuDao Road 210016 Nanjing China

ISBN: (纸本)078037651X

The paper presents a novel fast matching algorithm between airborne and satellite-borne SAR images so as to efficiently integrate SAR images into GPSISINS navigation system. Because the character such as gray level and resolution of an airborne image is different from that of a satellite-home SAR image, the matching algorithm in this paper is in principle based on edge extracting method on consideration of the real-time calculation ability. Wavelet decomposition is carried out on the input images and the edges are extracted from fine to coarse, where certain solutions are adopted against the inherent speckle noise in SAR image. On the other hand, the matching process between reference image and sensed image from coarse to fine is based on Hausdorff similarity. Furthermore, Kalman filter contributes to estimation and compensation of matching error so that matchng precision can be obviously improved. Theoretic analysis and simulation results not only illustrate the feasibility and reliability of the presented algorithm in this paper, but also manifest its fast matching process. © 2003 IEEE.

关键词： Synthetic aperture radar

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Natural color image segmentation

Natural color image segmentation

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IEEE International Conference on image processing

作者： Xu Jie Shi Peng-fei Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780377508

A new method for natural color image segmentation using integrated features is proposed in this paper. Edges are first detected in term of the high phase congruency in the gray-level image. K-means cluster is used to label long edge lines based on the global color information to estimate roughly the distribution of objects in the image, while short ones are merged based on their positions and local color differences to eliminate the negative affection caused by texture or other trivial features in image. Region growing technique is employed to achieve the final segmentation results. The proposed method unifies edges, both the whole and local color distributions, as well as the spatial information to solve the natural image segmentation problem. The feasibility and effectiveness of this method have been demonstrated by various experiments.

关键词： image segmentation image edge detection Phase detection image color analysis Gaussian processes image texture analysis Humans Machine vision Gabor filters image processing

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A PC algorithm for dynamic actuated traffic-control system

A PC algorithm for dynamic actuated traffic-control system

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International Conference on Intelligent Transportation

作者： Xingyu Zheng Zhonghua Liu Yuncai Liu InstituteImage Processing and Pattern Recognition University of Shanghai Jiaotong China Institute Image Processing and Pattern Recognition University of Shanghai Jiaotong China Department of the lost Imaging Processing and Pattern Recognition University of Shanghai Jiaotong China

ISBN: (纸本)0780381254

In this paper, we analyze the traditional algorithm (Circle->Phase) in the traffic-control system. And we propose a new algorithm that is proved better than the former one. By traffic flow simulation using advanced TSIS software, we get statistic data to analyze the characteristic of downstream traffic flow (DTF). Based on the mathematic model of DTF, we bring forward an algorithm to quickly decide the phase length and circle length. The algorithm adopts the real-time information according to required flow with the aim of minimizing the surplus time in each phase. It can adapt to any kind of traffic flow and has a high degree of flexibility.

关键词： Heuristic algorithms Traffic control Delay effects Algorithm design and analysis Analytical models Vehicle detection image recognition Road transportation Vehicle dynamics Statistical analysis

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An Evolutionary Real-Time 3D Route Planner for Aircraft

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Journal of Systems Engineering and Electronics 2003年第1期14卷 47-53页

作者：郑昌文丁明跃周成平 Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 P. R. China

A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time, with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account.

关键词： Evolutionary computation Route planning Route constraints Real time Aircraft.

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Next view planning for a combination of passive and active acquisition techniques

Next view planning for a combination of passive and active a...

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International Conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

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

In order to create a complete three-dimensional model of an object based on its two-dimensional images, the images have to be acquired from different views. An increasing number of views generally improves the accuracy of the final 3D model but it also increases the time needed to build the model. The number of the possible views can theoretically be infinite. Therefore, it makes sense to try to reduce the number of views to a minimum while preserving a certain accuracy of the model, especially in applications for which the performance is an important issue. We show an approach to next view planning for a fusion of shape from Silhouette, as an example of a passive 3D reconstruction technique, and shape from structured light, as an example of an active 3D reconstruction technique in order to get 3D shape reconstruction with minimal different views. Results of the algorithm developed are presented for both synthetic and real input images.

关键词： image reconstruction Shape Sensor phenomena and characterization Sensor systems Computer vision pattern recognition image processing Automation Joining processes Out of order

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Profile-based Pottery Reconstruction

Profile-based Pottery Reconstruction

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IEEE Computer Society Conference on Computer Vision and pattern recognition Workshops (CVPRW)

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

A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently extensive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric information describing an object, and merging geometric, texture and semantic data. We present a fully automated approach to pottery reconstruction based on the fragment profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. We demonstrate the method and give results on synthetic and real data.

关键词： image reconstruction Three dimensional displays Surface reconstruction pattern recognition Conferences Shape Computer vision

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Virtual reconstruction of broken and unbroken pottery

Virtual reconstruction of broken and unbroken pottery

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International Conference on 3D Imaging, Modeling, processing, Visualization and Transmission (3DIMPVT)

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

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. Due to the nature of ceramics, most of the excavated vessels are in the form of fragments called sherds. Only a few of the finds are complete, however these finds are the most important and interesting ones. Therefore we are developing a system that handles both complete and broken vessels using two different reconstruction strategies: A shape from silhouette based method for complete vessels and a profile based method for fragments. The profile is the cross-section of the fragment in the direction of the rotational axis of symmetry and can be represented by a closed curve in the plane. For complete vessels the 3D reconstruction is based on a sequence of images of the object taken from different viewpoints. Then the output of both algorithms is used to construct the 3D model of the vessel for classification and display.

关键词： image reconstruction Ceramics Documentation Educational technology Automation pattern recognition image processing Shape Three dimensional displays Cultural differences

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Autonomous optical navigation for interplanetary exploration based on information of earth-moon

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Journal of Harbin institute of Technology(New Series) 2003年第3期10卷 343-348页

作者：吴伟仁田玉龙黄翔宇 Institute for Pattern Recognition and Artificial Intelligence State Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Deep Space Exploration Research Center Harbin Institute of Technology Harbin 150001 Chinahe image elements of earth-center and moon-center are obtained by processing the images of earth and moon these image elements in combination with the inertial attitude information and the moon ephemeris are utilized to obtain the probe initial position relative to earth and the Levenberg-Marquardt algorithm is used to determine the accurate probe position relative to earth and the probe orbit relative to earth is estimated by using the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simulation.

The image elements of earth-center and moon-center are obtained by processing the images of earthand moon, these image elements in combination with the inertial attitude information and the moon ephemerisare utilized to obtain the probe initial position relative to earth, and the Levenberg-Marquardt algorithm is usedto determine the accurate probe position relative to earth, and the probe orbit relative to earth is estimated by u-sing the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simu-lation.

关键词： autonomous optical navigation interplanetary exploration Levenberg-Marquardt algorithm

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Region-Based Simplification of Laser Scanned Meshes

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Journal of Graphics Tools 2003年第2期8卷 41-50页

作者： Ye Jianhui[a] [a]Image Processing & Intelligent Control Key Laboratory of China Institute of Pattern Recognition & Artificial Int elligence Huazhong University of Science and Technology Wuhan 430074 PR China E-mail:

To simplify the mesh acquired from at hree-dimensional laser scanner, it is more important to keep the boundary and quality of the region of interest than of other regions. The algorithm must not be sensitive to noise introduced in practical applications. In this paper, we present a novel vertex merging mesh simplification algorithm based on region segmentation. The algorithm can be divided into two stages: segmentation and simplification. After the segmentation of the 3D color mesh into different regions, vertices are classed into a region-boundary vertex, which can only be merged into a region-boundary vertex in order to guarantee the completeness of the regions' boundary, and region-inner vertex. The iterative vertex merging is applied with a region-weighted error metric, which implements controllable simplifications. We demonstrate our method with several examples of a 3D color human head mesh.

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