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International Conference on Pattern Recognition

作者： G. Langs P. Peloschek R. Donner M. Reiter H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Austria Pattern Recognition and Image Processing Group University of Technology Vienna Austria Department of Radiology Medical University of Vienna Austria

ISBN: (纸本)0769525210

In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are related to active appearance models, but instead of modelling the entire texture of an object they represent image texture by means of local descriptors. The approach has advantages with complex image data like anatomical structures that exhibit high texture variation with limited relevance for the recognition of the object location. Experimental results and the comparison to AAMs on different data sets indicate that active feature models can improve search speed and result accuracy, considerably

关键词： Shape Active appearance model Biomedical imaging image texture image edge detection image texture analysis computer graphics Pattern recognition image processing Radiology

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Two remarks on reconstructing binary vectors from their absorbed projections

Two remarks on reconstructing binary vectors from their abso...

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12th International Conference on Discrete Geometry for computer imagery, DGCI 2005

作者： Kuba, Attila Woeginger, Gerhard J. Department of Image Processing and Computer Graphics University of Szeged H-6720 Szeged Arpad ter 2 Hungary Department of Mathematics and Computer Science TU Eindhoven P.O. Box 513 5600 MB Eindhoven Netherlands

We prove two small results on the reconstruction of binary matrices from their absorbed projections: (1) If the absorption constant is the positive root of x2 + x - 1 = 0, then every row is uniquely determined by its ... 详细信息

关键词： Binary codes

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A clique of active appearance models by minimum description length

A clique of active appearance models by minimum description ...

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2005 16th British Machine Vision Conference, BMVC 2005

作者： Langs, Georg Peloschek, Philipp Donner, René Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Austria Department of Diagnostic Radiology Medical University of Vienna Austria Pattern Recognition and Image Processing Group Vienna University of Technology Austria

ISBN: (纸本)1901725294

Autonomous model building is a crucial trend in model based methods like AAMs. This paper introduces an approach that deals with non-linearities by detecting distinct sub-parts in the data. Sub-models each representing an individual sub-part are derived from a minimum description length criterion. Thereby the resulting clique of models is more compact and obtains a better generalization behavior than a single model. The proposed AAM clique generation deals with non-linearities in the data in a generic information theoretic manner reducing the necessity of user interaction during training.

关键词： Information theory

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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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Method for automatically segmenting the spinal cord and canal from 3D CT images

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11th International Conference on computer Analysis of images and Patterns, CAIP 2005

作者： Nyúl, Lászlo G. Kanyó, Judit Máté, Eörs Makay, Géza Balogh, Emese Fidrich, Márta Kuba, Attila Department of Image Processing and Computer Graphics University of Szeged Árpád tér 2 H-6720 Szeged Hungary Clinical Software Engineering GE Medical Systems Lajos u. 48-66 H-1036 Budapest Hungary Institute of Mathematics University of Szeged Aradi vértanuk tere 1 H-6720 Szeged Hungary

ISBN: (纸本)3540289690

We present two approaches for automatically segmenting the spinal cord/canal from native CT images of the thorax region containing the spine. Different strategies are included to handle images where only part of the spinal column is visible. The algorithms require one seed point given on a slice located in the middle region of the spine, and the rest is automatic. The spatial extent of the spinal cord/canal is determined automatically. An extended region-growing technique is suggested for segmenting the spinal canal while active contours are applied if the spinal cord is to be segmented. Both methods work in 2D and use propagated information from neighboring slices. They are also very rapid in execution, that means an efficient, user-friendly workflow. The methods were evaluated by radiologists and were found to be useful (in reducing/eliminating contouring labor and time) and met the accuracy and repeatability requirements for the particular task. © Springer-Verlag Berlin Heidelberg 2005.

关键词： computerized tomography

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Knot modifications of B-spline or NURBS Surface

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of computer-Aided Design and computer graphics 2005年第5期17卷 986-989页

作者： Li, Yajuan Wang, Guozhao Department of Mathematics Institute of Computer Graphics and Image Processing Zhejiang University Hangzhou 310027 China

Modifying some knots of a B-spline or NURBS surface of order k×h to generate a family of B-spline or NURBS surface is presented. We show that the envelope of the family is a B-spline or NURBS surface defined by the same control points, and its order is (k-a)×(h-b), where a, b are the multiplicity of the modified knots. Moreover, any order partial derivatives of the B-spline surface and the family of B-spline surfaces differ only in a multiplier. The presented results can be served as a theoretical guidance for surface modeling and shape modifications in computer aided design today.

关键词： B-spline surface Envelope Knots modification NURBS surface Shape modifications

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Convergence of estimation of distribution algorithms in optimization of additively noisy fitness functions

Convergence of estimation of distribution algorithms in opti...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Yi Hong Qingsheng Ren Jin Zeng Yuchou Chang Department of Computer Science and Engineering Shanghai Jiaotong University China Department of Mathematics Shanghai Jiaotong University China Institute of Image Processing and Pattern Recognition China

Noise is a common phenomenon in many real-world optimizations. It has long been argued that evolutionary algorithm (EA) should be relatively robust against it. As a novel computing model in evolutionary computations, estimation of distribution algorithm (EDA) is also encountered with it. This paper initially presents three dynamic models of EDA under the additively noisy environment with three different selection methods (proportional selection method, truncation selection method and tournament selection method). We verify that when the population size is infinite, EDA can converge to the global optimal point. This concept establishes the theoretic foundation for optimization of noisy fitness functions with EDA

关键词： Convergence Electronic design automation and methodology mathematics Genetic algorithms Genetic mutations Evolutionary computation Distributed computing Working environment noise Mathematical model computer science

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Optimal sub-shape models by minimum description length

Optimal sub-shape models by minimum description length

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： G. Langs P. Peloschek H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria Department of Clinical Radiology Vienna Medical University Vienna Austria

Active shape models are powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowledge in an efficient and gainful way. However, due to the linearity of PCA, non-linearities like rotations or independently moving sub-parts in the data can deteriorate the resulting model considerably. Although non-linear extensions of active shape models have been proposed and application specific solutions have been used, they still need a certain amount of user interaction during model building. In this paper the task of building/choosing optimal models is tackled in a more generic information theoretic fashion. In particular, we propose an algorithm based on the minimum description length principle to find an optimal subdivision of the data into sub-parts, each adequate for linear modeling. This results in an overall more compact model configuration. Which in turn leads to a better model in terms of modes of variations. The proposed method is evaluated on synthetic data, medical images and hand contours.

关键词： Active shape model Biomedical imaging Principal component analysis computer vision Linearity Polynomials Pattern recognition computer graphics Radiology image processing

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Trigonometric polynomial B-spline with shape parameter

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自然科学进展(英文版) 2004年第11期14卷 1023-1026页

作者： Wang Wentao Wang Guozhao Institute of Computer Graphics and Image Department of Mathematics Zhejiang University Hangzhou 310027 China

The basis function of n order trigonometric polynomial B-spline with shape parameter is constructed by an integral approach. The shape of the constructed curve can be adjusted by changing the shape parameter and it ha... 详细信息

关键词： trigonometric polynomial B-spline with shape parameter basis function CAGD

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Capturing optical properties of paint polymerization 04

Capturing optical properties of paint polymerization

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Spring Conference on computer graphics, SCCG 2004

作者： Ďurikovič, Roman Software Department University of Aizu Japan Department of Computer Graphics and Image Processing Faculty of Mathematics Physics and Computer Science Comenius University Bratislava Slovakia

ISBN: (纸本)1581139144

The polymerization of paint changes the optical properties of a surface, such as scattering, absorption, and their phase angle dependence. Such changes can be recorded through relative albedo from a viewpoint of time varying Bidirectional Reflectance Distribution Function (BRDF). We propose a heuristics, which does make the same timing decision as an experienced lacquer man. Particularly, we found the timing for sprinkling gold powder by deriving the average rate of changes in reflectance coefficients over time. The novelty of the approach is transformation of lacquer man experiences to an explicit form, which would make sharing of experiences easier and effective. To confirm the applicability of the technique, the technique was used to simulate the appearance of an expensive Japanese lacquer ware made using the Makie technique. Copyright © 2004 by the Association for Computing Machinery, Inc.

关键词： Paint

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