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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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Painting crack elimination using viscous morphological reconstruction

Painting crack elimination using viscous morphological recon...

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International Conference on image Analysis and processing

作者： A. Hanbury P. Kammerer E. Zolda Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

A method for the elimination of cracks in infrared reflectograms is presented. Infrared reflectograms show the underdrawing - the basic concept of the artist drawn on the ground layer - in ancient wood panel paintings. Caused by the different mechanical behaviour of the panel and the covering ground layer during the aging of the painting, cracks appear. Cracks not only disturb the appearance of a painting, but are also a problem for segmenting the lines and strokes of the underdrawing. A method based on mathematical morphology, namely morphological reconstruction with viscosity, is used to eliminate the cracks while keeping as much detail as possible in the brush strokes. A priori information that the cracks are usually thinner than the brush strokes and have a preferred orientation is taken into account.

关键词： Painting Infrared imaging image reconstruction Aging Art image analysis Pigments Data mining pattern recognition image processing

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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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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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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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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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A fusion algorithm of remote sensing image based on discrete wavelet packet

A fusion algorithm of remote sensing image based on discrete...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hai-Hui Wang Jia-Xiong Peng Wei Wu State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780378652

image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute processing tasks. In this paper, a new image fusion algorithm based on wavelet packet transform to fuse multisensor images is presented. Discrete wavelet transform (DWT) can offer a more precise way for image analysis, than other multi-resolution analysis. It decomposes an image into low frequency band and high frequency band in different level, and it can also be reconstructed gradually in different level. But this method only decomposes low frequency band in a higher scale, so that it omits some useful details of the images. In this paper, we present a new image fusion algorithm. In the algorithm, we use discrete wavelet packet transform (DWPT) to decompose and reconstruct the images. When images are merged in wavelet packet space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. This image fusion is performed at the pixel level. In this fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. Through merging remote sensing images from multi-sensor to a same object by applying method of wavelet packet analysis, we have obtained a fused picture. In this paper, mutual information is employed as a means of objective assessing image fusion performance. The experiment results show that this fusion algorithm, based on wavelet packet transform, is an effective approach in image fusion area.

关键词： Remote sensing Discrete wavelet transforms Wavelet packets image fusion Frequency image analysis Wavelet analysis image reconstruction image sensors Humans

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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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Personal verification using palmprint and hand geometry biometric

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4th International Conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Kumar, Ajay Wong, David C. M. Shen, Helen C. Jain, Anil K. Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay Hong Kong Pattern Recognition and Image Processing Lab Department of Computer Science and Engineering Michigan State University East LansingMI48824 United States

ISBN: (纸本)9783540403029

A new approach for the personal identification using hand images is presented. This paper attempts to improve the performance of palmprint-based verification system by integrating hand geometry features. Unlike other bimodal biometric systems, the users does not have to undergo the inconvenience of passing through two sensors since the palmprint and hand geometry features can be are acquired from the same image, using a digital camera, at the same time. Each of these gray level images are aligned and then used to extract palmprint and hand geometry features. These features are then examined for their individual and combined performance. The image acquisition setup used in this work was inherently simple and it does not employ any special illumination nor does it use any pegs to cause any inconvenience to the users. Our experimental results on the image dataset from 100 users confirm the utility of hand geometry features with those from palmprints and achieve promising results with a simple image acquisition setup. © Springer-Verlag Berlin Heidelberg 2003.

关键词： image acquisition

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