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International Conference on pattern recognition

作者： M. Jogan A. Leonardis H. Wildenauer H. Bischof Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

Methods for mobile robot localization that use eigenspaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Therefore, we propose an approach which achieves a reliable localization under severe illumination conditions. The method uses gradient filtering of the eigenspace. After testing the approach on images obtained by a mobile robot, we show that it outperforms the standard eigenspace-based recognition method.

关键词： Mobile robots Lighting Computer vision Filter bank image recognition Indoor environments pattern recognition image processing Computer graphics Information science

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Skeletons in the framework of graph pyramids 4th

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4th International Workshop on Visual Form, IWVF4 2001

作者： Glantz, Roland Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Favoritenstr. 9 ViennaA-1040 Austria

ISBN: (纸本)3540421203

Graph pyramids allow to combine pruning of skeletons with a concept known from the representation of line images, i.e. generalization of paths without branchings by single edges. Pruning will enable further generalization of paths and the latter speeds up the former. Within the unified framework of graph pyramids a new hierarchical representation of shape is proposed that comprises the skeleton pyramid, as proposed by Ogniewicz. In particular, the skeleton pyramid can be computed in parallel from any distance map. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Musculoskeletal system

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3D modeling of archaeological vessels using shape from silhouette

3D modeling of archaeological vessels using shape from silho...

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

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

ISBN: (纸本)0769509843

An algorithm for the automatic construction of a 3D model of archaeological vessels is presented. In archeology the determination of the exact volume of arbitrary vessels is of importance since this provides information about the manufacturer and the usage of the vessel. To acquire the shape of objects with handles in 3d is complicated, since occlusions of the object's surface are introduced by the handle and can only be resolved by taking multiple views. Therefore, the 3d reconstruction is based on a sequence of images of the object taken from different viewpoints. The object's silhouette is the only feature which is extracted from an input image. images are acquired by rotating the object on a turntable in front of a stationary camera. The algorithm uses an octree representation of the model, and builds this model incrementally, by performing limited processing of all input images for each level of the octree. Beginning from the root node at the level 0 a rough model of the object is obtained quickly and is refined as the processed level of the octree increases. Results of the algorithm developed are presented for both synthetic and real input images.

关键词： Shape Cameras Automation pattern recognition image processing Manufacturing image reconstruction Feature extraction Ceramics Distortion measurement

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Illumination insensitive eigenspaces

Illumination insensitive eigenspaces

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International Conference on Computer Vision (ICCV)

作者： H. Bischof H. Wildenauer A. Leonardis Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria Faculty of Computer and Information Science University of Ljubljana Ljubljana Slovenia

ISBN: (纸本)0769511430

Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper we propose how to deal with illumination variations in eigenspace methods. We demonstrate that the eigenimages obtained by a training set under a single illumination condition (ambient light) can be used for recognition of objects taken under different illumination conditions. The major idea is to incorporate a set of gradient based filter banks into the eigenspace recognition framework. This can be achieved since the eigenimage coefficients are invariant for linearly filtered images (input and eigenimages). To achieve further illumination insensitivity we devised a robust procedure for coefficient recovery. The proposed approach has been extensively evaluated on a set of 2160 images and the results were compared to other approaches.

关键词： Lighting Nonlinear filters Principal component analysis image coding Object recognition Filtering Filter bank image recognition Information science image sampling

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Memory efficient fingerprint verification

Memory efficient fingerprint verification

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IEEE International Conference on image processing

作者： C. Beleznai H. Ramoser B. Wachmann J. Birchbauer H. Bischof W. Kropatsch Advanced Computer Vision Austrian Research Centre Seibersdorf Vienna Austria Programm-und Systementwicklung Siemens AG Österreich Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Fingerprint recognition and verification are often based on local fingerprint features, usually ridge endings or terminations, also called minutiae. By exploiting the structural uniqueness of the image region around a minutia, the fingerprint recognition performance can be significantly enhanced. However, for most fingerprint images the number of minutia image regions (MIRs) becomes dramatically large, which imposes - especially for embedded systems - an enormous memory requirement. Therefore, we are investigating different algorithms for compression of minutia regions. The requirement for these algorithms is to achieve a high compression rate (about 20) with minimum loss in the matching performance of minutia image region matching. We investigate the matching performance for compression algorithms based on the principal component and the wavelet transformation. The matching results are presented in form of normalized ROC curves and interpreted in terms of compression rates and the MIR dimension.

关键词： Fingerprint recognition image coding Computer vision image recognition image processing image matching Embedded system Performance loss Biometrics Character recognition

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Preface

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2001年 2130卷 v页

作者： Dorffner, Georg Bischof, Horst Hornik, Kurt University of Vienna Dept. of Mecidal Cybernetics and Artificial Intelligence Freyung 6/2 Vienna Austria Technical University of Vienna Institute for Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr. 9/1832 Vienna Austria Wirtschaftsuniversität Wien Institut für Statistik Augasse 2-6 Wien Austria

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Plane embedding of dually contracted graphs

Plane embedding of dually contracted graphs

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9th International Conference on Discrete Geometry for Computer imagery, DGCI 2000

ISBN: (纸本)3540413960

The use of plane graphs for the description of image structure and shape representation poses two problems : (1) how to obtain the set of vertices, the set of edges and the incidence relation of the graph, and (2) how to embed the graph into the plane image. Initially, the image is represented by an embedded graph G in a straight forward manner, i.e. the edges of G represent the 4-connectivity of the pixels. Let G¯ denote a (planar) abstract dual of G. Dual graph contraction is used to reduce the pair (G¯,G) to a pair (H¯,H) of planar abstract duals. Dual graph contraction is unsymmetric due to an extra condition on the choice of the contraction kernels in G. This condition is shown to be necessary and sufficient for H to be embedded onto G. The embedding is applied to the description of image structure and to shape representation. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Graph theory

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Robust Parametric and Semi-parametric Spot Fitting for Spot Array images 8

Robust Parametric and Semi-parametric Spot Fitting for Spot ...

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8th International Conference on Intelligent Systems for Molecular Biology, ISMB 2000

作者： Brändle, Norbert Chen, Horng-Yang Bischof, Horst Lapp, Hilmar Vienna University of Technology Pattern Recognition and Image Processing Group Treitlstr. 3/1832 ViennaA-1040 Austria Novartis Research Institute Vienna Genetics Brunner Str. 59 ViennaA-1230 Austria

ISBN: (纸本)1577351150

In this paper we address the problem of reliably fitting parametric and semi-parametric models to spots in high density spot array images obtained in gene expression experiments. The goal is to measure the amount of label bound to an array element. A lot of spots can be modelled accurately by a Gaussian shape. In order to deal with highly overlapping spots we use robust M-estimators. When the parametric method fails (which can be detected automatically) we use a novel, robust semi-parametric method which can handle spots of different shapes accurately. The introduced techniques are evaluated experimentally. Copyright © 2000, American Association for Artificial Intelligence (***). All rights reserved.

关键词： Gene expression

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A new approach to finite wordlength coefficient fir digital filter design using the branch and bound technique 10

A new approach to finite wordlength coefficient fir digital ...

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2000 10th European Signal processing Conference, EUSIPCO 2000

作者： Belbachir, A.N. Boulerial, B. Belbachir, M.F. Signal and System Laboratory Electronic Institute U.S.T.O. B.P. 1505 El Mnouer Oran Algeria Vienna University of Technology Pattern Recognition and Image Processing Group Favritenstr. 9/1832 ViennaA-1040 Austria

ISBN: (纸本)9789521504433

It has been shown that the branch and bound technique is effective for the design of finite wordlength optimal digital filters. This technique is however expensive in computing time. In this paper, we present a robust branch and bound branching strategy named Sequential and Progressive Search, improving the design of filters on a large wordlength processor in a reasonable computing cost. The details of the algorithm and many examples are given and compared to the other methods. © 2000 EUSIPCO.

关键词： Digital filters

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Estimating the next sensor position based on surface characteristics

Estimating the next sensor position based on surface charact...

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International Conference on pattern recognition

作者： C. Liska R. Sablatnig Austrian Research Centre Seibersdorf Vienna Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

ISBN: (纸本)0769507506

In order to reconstruct the viewable surface of an object completely, multiple views of the same object have to be used and integrated into a common coordinate system. One of the major problems of the 3D surface reconstruction using a turntable, is the varying resolution in the direction to the camera, due to the varying distance of object points to the rotational axis of the turntable. To guarantee a uniform object resolution, we calculate the next angle dynamically, depending on the entropy of the surface part actually acquired. To minimize the loss of information and to guarantee a uniform surface resolution, we derive a relation between the entropy and the next viewing angle, based on the profile sections acquired in the last two steps of the acquisition.

关键词： Sensor phenomena and characterization Surface reconstruction image reconstruction Cameras Entropy Position measurement Shape measurement Java pattern recognition image processing

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