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Computational complexity reduction in eigenspace approaches 7th

Computational complexity reduction in eigenspace approaches

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7th International Conference on computer Analysis of images and patterns, CAIP 1997

作者： Leonardis, Aleš Bischof, Horst Vienna University of Technology Institute for Automation Pattern Recognition and Image Processing Group Treitlstraße 3/1832 ViennaA-1040 Austria University of LjubIjana Tržaška 25 LjubljanaSI-1001 Slovenia

ISBN: (纸本)3540634606

Matching of appearance-based object representations using eigenimages is computationally very demanding. Most commonly, to recognize an object in an image, parts of the input image are projected onto the eigenspace and the recovered coefficients indicate the presence or absence of a particular object. In general, the process is sequentially applied to the entire image. In this paper we discuss how to alleviate the problems related to complexity. First, we propose to use a focus-ofattention (FOA) detector which is intended to select candidate areas of interest with minimal computational effort. Only at these areas we then recover the coefficients of eigenimages. Secondly, we propose to employ a multiresolution approach. However, this requires that we depart from the standard way of calculating the coefficients of the eigenimages which relies on the orthogonality property of eigenimages. Instead we calculate them by solving a system of linear equations. We show the results of our approach on real data. © Springer-Verlag Berlin Heidelberg 1997.

关键词： computers

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Constructing stochastic pyramids by MIDES – maximal independent directed edge set

Constructing stochastic pyramids by MIDES – maximal indepen...

引用

4th IAPR International Workshop on Graph Based Representations in pattern recognition, GbRPR 2003

作者： Haxhimusa, Yll Glantz, Roland Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Favoritenstrasse 9 ViennaA-1040 Austria Dipartimento di Informatica Università di Ca’ Foscari di Venezia Via Torino 155 MestreVE30172 Italy

ISBN: (纸本)354040452X

We present a new method (MIDES) to determine contraction kernels for the construction of graph pyramids. Experimentally the new method has a reduction factor higher than 2.0. Thus, the new method yields a higher reduction factor than the stochastic decimation algorithm (MIS) and maximal independent edge set (MIES), in all tests. This means the number of vertices in the subgraph induced by any set of contractible edges is reduced to half or less by a single parallel contraction. The lower bound of the reduction factor becomes crucial with large images. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Directed graphs

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On ancient coin classification

On ancient coin classification

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8th International Symposium on Virtual Reality, Archaeology, and Intelligent Cultural Heritage, VAST 2007

作者： Zaharieva, M. Huber-Mörk, R. Nölle, M. Kampel, M. TU Vienna Institute for Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr. 9/183-2 A-1040 Vienna Austria ARC Seibersdorf Research GmbH Smart Systems Division High Performance Image Processing A-2444 Seibersdorf Austria ARC Seibersdorf Research GmbH Smart Systems Division Quantum Technologies A-2444 Seibersdorf Austria

ISBN: (纸本)9783905674019

Illegal trade and theft of coins appears to be a major part of the illegal antiques market. image based recognition of coins could substantially contribute to fight against it. Central component in the permanent identification and traceability of coins is the underlying classification and identification technology. The first step of a computer aided system is the segmentation of the coin in the image. Next, a feature extraction process measures the coin in order to describe the coin unambiguously. In this paper, we focus on the segmentation task, followed by a comparison of features relevant for coin classification. Results of the algorithms implemented are presented for an image database of ancient coins. © The Eurographics Association 2007.

关键词： image segmentation

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On the detection of individuals and vehicles on an airport's apron

On the detection of individuals and vehicles on an airport's...

引用

IEE International Conference on Visual Information Engineering (VIE 2005)

作者： Josep Aguilera Antequera Martin Kampel Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr.9 183-2 A-1 040 Vienna Austria

This paper gives a robust motion detection and tracking solution for a video surveillance application on an airport's apron. As an outdoor application, the system must be capable of adapting to a wide range of weather conditions and illumination changes, furthermore, the achromaticity of the scene and the presence of occlusions in the tracking process are issues considered in the selection of the motion detector and tracking system respectively. We propose an adapted mixture of Gaussiani model with RGB colour normalisation to detect mobile objects in the scene and a region tracking method based on significant mobile object features to track individuals and vehicles on the selected airport's apron. The performance of the proposed motion detector is evaluated using pixel-based performance metrics and compared with other existing methods. The capability of the application to handle partial occlusions is tested on the region tracker.

关键词： Tracking Airports Surveillance Adaptation models Visualization Motion detection Atmospheric modeling

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Ancient document analysis based on text line extraction

Ancient document analysis based on text line extraction

引用

International Conference on pattern recognition

作者： Florian Kleber Robert Sablatnig Melanie Gau Heinz Miklas Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Slavonic Studies University of Technology Vienna Vienna Austria

ISBN: (纸本)9781424421749

In order to preserve our cultural heritage and for automated document processing libraries and national archives have started digitizing historical documents. In the case of degraded manuscripts (e.g. by mold, humidity, bad storage conditions) the text or parts of it can disappear. The remaining parts of the text can be segmented and the ruling can be extrapolated with the a priori knowledge. Since the ruling defines the position of the text within a page, it can be used for layout analysis and as a basis for the enhancement of the readability. Furthermore, information about the scribe (hand) of the manuscript, its spatiotemporal origin can be gained by analyzing the ruling. This paper presents an algorithm for ruling estimation of Glagolitic texts based on text line extraction and is suitable for degraded manuscripts by extrapolating the baselines with the a priori knowledge of the ruling. The algorithm was tested on 30 pages of the Missale Sinaiticum and the evaluation was based on visual criteria.

关键词： Text analysis Degradation Algorithm design and analysis image segmentation image analysis Spatiotemporal phenomena Information analysis Data mining Software libraries Clustering algorithms

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Hierarchical classification of paintings using face- and brush stroke models

Hierarchical classification of paintings using face- and bru...

引用

International Conference on pattern recognition

作者： R. Sablatnig P. Kammerer E. Zolda Institute of Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

It is often difficult to attribute works of art to a certain artist. In the case of paintings, radiological methods like X-ray and infra-red diagnosis, digital radiography, computer-tomography, etc. and color analyzes are employed to authenticate works of art. But all these methods do not relate certain characteristics of an art work to a specific artist-the artist's personal style. In order to study this personal style, we examine the "structural signature" based on brush strokes in particular in portrait miniatures. A computer-aided classification and recognition system for portrait miniatures is developed, which enables a semi-automatic classification based on brush strokes. A hierarchically structured classification scheme is introduced which separates the classification into three different levels of information: color, shape of region, and structure of brush strokes.

关键词： Painting Art Humans Face automation pattern recognition image processing Postal services Trademarks Rhythm

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Contrast Enhancement in Multispectral images by Emphasizing Text Regions

Contrast Enhancement in Multispectral Images by Emphasizing ...

引用

IAPR International Workshop on Document Analysis Systems, DAS

作者： Martin Lettner Florian Kleber Robert Sablatnig Heinz Miklas Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Slavonic Studies University of Technology Vienna Vienna Austria

This paper deals with the enhancement of the readability in historic texts written on parchment. Due to mold, air, humidity, water, etc. parchment and text are partially damaged and consequently hard to read. In order to enhance the readability of the text, the manuscript pages are imaged in different spectral bands ranging from 360 to 1000 nm. The readability enhancement is based on a spectral and spatial analysis of the multivariate image data by multivariate spatial correlation. The main advantage of the method is that especially the text regions are enhanced which is provided by generating a mask image. This mask is based on the automatic reconstruction of the ruling scheme of the text pages. The method is tested on two medieval Slavonic manuscripts written on parchment.

关键词： Multispectral imaging Principal component analysis Degradation image analysis Humidity Spectral analysis Hyperspectral imaging Text analysis pattern analysis pattern recognition

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Mobile robot localization under varying illumination

Mobile robot localization under varying illumination

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作者： Jogan, Matjaž Leonardis, Aleš Wildenauer, Horst Bischof, Horst Faculty of Computer and Information Science University of Ljubljana Tržaška 25 1001 Ljubljana Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation Vienna University of Technology Favoritenstrasse 9/1832 A-1040 Vienna Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 2. OG A-8010 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. © 2002 IEEE.

关键词： Mobile robots

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Mobile robot localization under varying illumination

Mobile robot localization under varying illumination

引用

16th International Conference on pattern recognition, ICPR 2002

作者： Jogan, Matjaž Leonardis, Aleš Wildenauer, Horst Bischof, Horst Faculty of Computer and Information Science University of Ljubljana Tržaška 25 Ljubljana1001 Slovenia Pattern Recognition and Image Processing Group Institute for Computer Aided Automation Vienna University of Technology Favoritenstrasse 9/1832 ViennaA-1040 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 2. OG GrazA-8010 Austria

ISBN: (纸本)0769516963

Methods for mobile robot localization that use eigen spaces 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 eigen space. After testing the approach on images obtained by a mobile robot, we show that it outperforms the standard eigen space-based recognition method. © 2002 IEEE.

关键词： Mobile robots

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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International Conference on Systems, Signals and image processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate.

关键词： Shape Three dimensional displays Visualization computer vision Histograms Windows

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