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Color image compression: Early vision and the multiresolution representations

Color image compression: Early vision and the multiresolutio...

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27th DAGM (German Association for pattern recognition) Symposium, DAGM 2005

作者： Belbachir, Ahmed Nabil Goebel, Peter Michael Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr. 9/183-2 A-1040 Vienna Austria

The efficiency of an image compression technique relies on the capability of finding sparse M-terms for best approximation with reduced visually significant quality loss. By "visually significant" it is meant the information to which human observer can perceive. The Human Visual System (HVS) is generally sensitive to the contrast, color, spatial frequency...etc. This paper is concerned with the compression of color images where the psycho-visual representation is an important strategy to define the best M-term approximation technique. Digital color images are usually stored using the RGB space, television broadcast uses YUV (YIQ) space while the psycho-visual representation relies on 3 components: one for the luminance and two for the chrominance. In this paper, an analysis of the wavelet and contourlet representation of the color image both in RGB and YUV spaces is performed. A approximation technique is performed in order to investigate the performance of image compression technique using one of those transforms. © Springer-Verlag Berlin Heidelberg 2005.

关键词： image compression

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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...

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IEE International Conference on Visual Information Engineering, VIE 2005

作者： Antequera, Josep Aguilera Kampel, Martin Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr.9 183-2 A-1040 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 Gaussians 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： Motion estimation

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Evaluation of motion segmentation quality for aircraft activity surveillance

Evaluation of motion segmentation quality for aircraft activ...

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2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS

作者： Aguilera, Josep Wildenauer, Horst Kampel, Martin Borg, Mark Thirde, David Ferryman, James Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstr.9 183-2 A-1040 Vienna Austria Computational Vision Group University of Reading Whiteknights Reading RG6 6AY United Kingdom

ISBN: (纸本)0780394240

Recent interest has been shown in performance evaluation of visual surveillance systems. The main purpose of performance evaluation on computer vision systems is the statistical testing and tuning in order to improve algorithm's reliability and robustness, In this paper we investigate the use of empirical discrepancy metrics for quantitative analysis of motion segmentation algorithms. We are concerned with the case of visual surveillance on an airport's apron, that is the area where aircraft s are parked and serviced by specialized ground support vehicles. Robust detection of individuals and vehicles is of major concern for the purpose of tracking objects and understanding the scene. In this paper, different discrepancy metrics for motion segmentation evaluation are illustrated and used to assess the performance of three motion segmentors on video sequences of an airport's apron. © 2005 IEEE.

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...

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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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A robust matching algorithm for active appearance models 1

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Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2005 - Workshop on image processing for Medicine: Algorithms - Systems - Applications, BVM 2005

作者： Beichel, Reinhard Bischof, Horst Langs, Georg Sonka, Milan Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/2 A-8010 Graz Austria Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstr. 9 A-1040 Vienna Austria Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States

ISBN: (数字)9783540264316

ISBN: (纸本)3540250522

This paper proposes a method for robustly matching active appearance models (AAMs) on images with gross disturbances (outliers). The method consists of two steps. First, an initial residual is calculated by comparing model and image appearance, and modes of the residual are analyzed. Second, all possible mode combinations are tested by evaluating an objective function. The objective function allows the selection of an outlier-free mode combination. Experiments demonstrate the ability of the robust matching method to successfully cope with outliers - compared to standard AAM matching, no degeneration of the model during matching occurs.

关键词： Statistics

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Computer Aided Analysis of Underdrawings in Infrared Reflectograms

Computer Aided Analysis of Underdrawings in Infrared Reflect...

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4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, VAST 2003

作者： Kammerer, Paul Zolda, Ernestine Sablatnig, Robert Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstrasse 9/183/2 ViennaA-1040 Austria

ISBN: (纸本)3905673088

Recent developments in computer vision are providing powerful tools for the evaluation of data gathered by art historians and archaeologists. New camera hardware allows new insights into cultural heritage, especially if infrared cameras are concerned, since they allow the of study structures that are visually hidden. In this paper preliminary results of developing a system for automatic analysis of infrared reflectograms are presented. We concentrate on an algorithm for the automatic segmentation of strokes in underdrawings - the basic concept of the artist - in ancient panel paintings and the removal of cracks in infrared images. The purpose of the stroke analysis is the determination of the drawing tool used to draft the painting. This information allows significant support for a systematic stylistic approach in the analysis of paintings. Stroke segmentation in paintings is related to the extraction and recognition of handwriting, therefore similar techniques to segment the strokes from the background incorporating boundary information are used. Results of the algorithms developed are presented for both test panels and real reflectograms. © The Eurographics Association 2003.

关键词： Cameras

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Profile-based Pottery Reconstruction

Profile-based Pottery Reconstruction

引用

Conference on Computer Vision and pattern recognition Workshop, CVPRW 2003

作者： Kampel, M. Sablatnig, R. Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology Favoritenstrasse 9 183-2 ViennaA-1040 Austria

ISBN: (纸本)0769519008

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. © 2003 IEEE.

关键词： Semantics

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Constructing stochastic pyramids by MIDES – maximal independent directed edge set

Constructing stochastic pyramids by MIDES – maximal indepen...

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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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Virtual Vessel Reconstruction from a Fragment's Profile

Virtual Vessel Reconstruction from a Fragment's Profile

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4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, VAST 2003

作者： Kampel, M. Melero, F.J. Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr. 9 183-2 ViennaA-1040 Austria Universidad de Granada E.T.S. Ingeniería Informática Dpt. Lenguajes y Sistemas Informáticos C/. Daniel Saucedo Aranda s/n GranadaE-18071 Spain

ISBN: (纸本)3905673088

Every archaeological excavation must deal with a vast number of ceramic fragments. The documentation, administration and scientific processing of these fragments represent a temporal, personnel, and financial problem. Up to now documentation and classification have been done manually which means a lot of routine work for archaeologists and a very inconsistent representation of the real object. First, there may be errors in the measuring process (diameter or height may be inaccurate). Second, the drawing of the fragment should be in a consistent style, which is not possible since a drawing of an object without interpreting it is very hard to do. We are developing a documentation system for archaeological fragments based on their profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence the position of a fragment (orientation) on a vessel is important, since it allows a good profile to be obtained. This paper presents two different approaches to the estimation of the orientation of archaeological fragments and the profile extraction. One method is based on a Hough inspired approach and the other is based on genetic algorithms and expert interaction. We compare the methods and show results with respect to robustness, applicability, and accuracy. © The Eurographics Association 2003.

关键词： Genetic algorithms

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Hierarchical top down enhancement of robust PCA 9th

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Joint IAPR 9th International Workshop on Structural and Syntactic pattern recognition, SSPR 2002 and 4th International Workshop on Statistical Techniques in pattern recognition, SPR 2002

作者： Langs, Georg Bischof, Horst 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 Institute for Computer Graphics and Vision TU Graz Inffeldgasse 16 2.OG GrazA-8010 Austria

ISBN: (纸本)3540440119

In this paper we deal with performance improvement of robust PCA algorithms by replacing regular subsampling of images by an irregular image pyramid adapted to the expected image content. The irregular pyramid is a structure built based on knowledge gained from the training set of images. It represents different regions of the image with different level of detail, depending on their importance for reconstruction. This strategy enables us to improve reconstruction results and therefore the recognition significantly. The training algorithm works on the data necessary to perform robust PCA and therefore requires no additional input. © Springer-Verlag Berlin Heidelberg 2002.

关键词： image enhancement

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