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International Conference on pattern recognition

作者： T. Melzer P. Kammerer E. Zolda Pattern Recognition & Image Processing Group University of Technology Vienna Vienna Austria

The arrangement of brush strokes is an important criterion in classifying portrait miniatures. In order to detect single brush strokes we used both a model based and a semi-parametric, neural network approach. The per... 详细信息

关键词： image edge detection Art image segmentation Humans Detectors Brightness pattern recognition Assembly Testing Interpolation

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Hierarchical interactive image segmentation using irregular pyramids

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年 6658 LNCS卷 245-254页

作者： Gerstmayer, Michael Haxhimusa, Yll Kropatsch, Walter G. Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)9783642208430

In this paper we describe modifications of irregular image segmentation pyramids based on user-interaction. We first build a hierarchy of segmentations by the minimum spanning tree based method, then regions from different (granularity) levels are combined to a final (better) segmentation with user-specified operations guiding the segmentation process. Based on these operations the users can produce a final image segmentation that best suits their applications. This work can be used for applications where we need accuracy in image segmentation, in annotating images or creating ground truth among others. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： image segmentation

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Automated multi-camera surveillance for the prevention and investigation of bank robberies in Austria: A case study

Automated multi-camera surveillance for the prevention and i...

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3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009)

作者： S. Zambanini P. Blauensteiner M. Kampel Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

In this paper we present the recently granted tripleB-ID project that aims to detect suspicious actions and criminal offences in bank foyers. Based on the situation in Austria and on the actual needs of our partner bank, we deduce scenarios of interest and analyse the technical challenges. As a preliminary work, we furthermore present a fully automated method for the mapping between a static and a dynamic camera and show how this can be used to easily and fast set up a master-slave camera system.

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Generalized Conics: Properties and applications

Generalized Conics: Properties and applications

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International Conference on pattern recognition

作者： Aysylu Gabdulkhakova Walter G. Kropatsch Pattern Recognition and Image Processing group Technische Universität Wien Vienna Austria

ISBN: (纸本)9781728188089;9781728188096

In this paper the properties of the generalized conics are used to create a unified framework for generating various types of the distance fields. The main concept behind this work is a metric that measures the distance from a point to a line segment according to the definition of the ellipse. The proposed representation provides a possibility to efficiently compute the proximity, arithmetic mean of the distances and a space tessellation with regard to the given set of polygonal objects, line segments and points. In addition, the weights can be introduced for objects, their parts and combinations. This fact leads to a hierarchical representation that can be efficiently obtained using the pixel-wise operations. The practical value of the proposed ideas is demonstrated on an example of applications like skeletonization, smoothing and optimal location finding.

关键词： Measurement image segmentation Smoothing methods Transforms Planning pattern recognition

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The morphological top-hat operator generalised to multi-channel images

The morphological top-hat operator generalised to multi-chan...

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International Conference on pattern recognition

作者： A. Hanbury Pattern Recognition and Image Processing Group (PRIP) University of Technology Vienna Vienna Austria

The morphological top-hat operator for grayscale images is part of the basic toolbox of mathematical morphology operators. We discuss two ways of generalising the top-hat operator to multi-channel images, such as colour images. The first method presented is the use of a vectorial order in the relevant vector space. The second is based on the demonstration that the top-hat operator can be rewritten in terms of increments. These increments can be replaced by any vectorial distance function, removing the requirement to first impose an order on the vectors. We present examples of the use of the suggested top-hat operators in feature detection in colour images and defect detection in texture.

关键词： Morphology Data mining pattern recognition image processing Computer vision Object detection Muscles image color analysis image texture analysis

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Confocal Ellipse-based Distance and Confocal Elliptical Field for polygonal shapes

Confocal Ellipse-based Distance and Confocal Elliptical Fiel...

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International Conference on pattern recognition

作者： Aysylu Gabdulkhakova Walter G. Kropatsch Pattern Recognition and Image Processing group Technische Universität Wien Vienna Austria

The paper introduces a novel confocal ellipse-based distance (CED), that is based on the properties of the confocal ellipses. This distance is used to produce a confocal elliptical field (CEF). The Euclidean Distance Transform (EDT) of a single point (called seed) generates a distance field of concentric circles. The sum of two such distance fields of two distinct seed points produces a distance field of confocal ellipses. This fact enables to adapt CED and CEF to the discrete case, referred to as CED-DT and CEF-DT. The properties of the CEF and CEF-DT make them useful for skeletonization, in particular for efficient removal of the spurious branches.

关键词： Shape Skeleton Transforms image processing Euclidean distance Two dimensional displays pattern recognition

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Evaluating Hierarchical Graph-based Segmentation

Evaluating Hierarchical Graph-based Segmentation

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International Conference on pattern recognition

作者： Y. Haxhimusa A. Ion W.G. Kropatsch Faculty of Informatics Pattern Recognition and Image Processing Group University of Technology Vienna Austria

Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do not show big differences between the two representative methods although human visual inspection of the results show advantages for one method. To a certain extent this subjective impression is captured by the new criteria of 'region size variation'

关键词： image segmentation Humans pattern recognition Inspection Tree graphs Informatics image processing Bridges Brightness Pixel

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Real-time multi-resolution digital elevation map creation using the sensor model of a stereovision sensor

Real-time multi-resolution digital elevation map creation us...

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International Conference on Intelligent Transportation

作者： Szilárd Mandici Sergiu Nedevschi Image Processing and Pattern Recognition Research Group Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781509018901

This paper presents an approach for constructing high quality Digital Elevation Maps (DEMs) from dense stereo data. As opposed to classical DEM creation algorithms, the proposed solution uses the sensor models of the stereovision sensor to correct the raw data. The direct and inverse sensor models are found from experiments. The algorithm decomposes the 2D cells containing vertical objects or object boundaries in order to model the objects more precisely. The approach distinguishes between 2 types of cells: cells containing horizontal and vertical objects. For the vertical object cells, connected components in the histogram of heights are found while in the horizontal object cells, the most representative height is determined using a mode-seeking approach similar to mean shift. The 3D reconstructed points are assigned to the cells around it by considering the probability of correspondence based on the 2D Gaussian component of the direct sensor model. In order to eliminate the noise, a similarity measure is computed between each 3D point and cell based on the calculated DEM cell descriptor and is discarded if the similarity score is smaller than a predefined threshold. The algorithm is implemented on the GPU in order to achieve a real-time execution speed and it is evaluated extensively in comparison with other DEM creation algorithms using the latest KITTI stereo benchmark data. The obtained DEM is denser, more accurate and the object boundaries are modeled more precisely.

关键词： Three-dimensional displays Robot sensing systems image reconstruction Two dimensional displays Histograms Solid modeling Mathematical model

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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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On the use of computer vision for numismatic research

On the use of computer vision for numismatic research

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9th International Symposium on Virtual Reality, Archaeology, and Cultural Heritage, VAST 2008

作者： Zambanini, S. Kampel, M. Schlapke, M. Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstr 9-183/2 A-1040 Austria Austria Thuringisches Landesamt fur Denkmalpflege und Archaologie Weimar Germany

ISBN: (纸本)9783905674149

This paper gives a survey about numismatic research fields where computer vision methods have the potential to improve the effectiveness and impact of research work. In total, five different parts of numismatic research areas are identified: The classification of coins into given types, the identification of concrete coin specimens, the identification of coins struck by the same die, the reassembling of broken coin fragments and the segmentation and surveying of coins. For each application a problem description is given and the use of computer vision methods is discussed in detail. Additionally, for the image-based classification, identification and segmentation of coins results achieved so far are presented. Since computer vision methods are applied on photographs of coins, their acquisition (both in 2D and 3D) is covered as well. ©The Eurographics Association 2008.

关键词： Computer vision

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