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pattern recognition 1

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Walter G. Kropatsch Robert Sablatnig Allan Hanbury

ISBN: (数字)9783540319429

ISBN: (纸本)9783540287032

It is both an honor and a pleasure to hold the 27th Annual Meeting of the German Association for pattern recognition, DAGM 2005, at the Vienna U- versity of Technology, Austria, organized by the pattern recognition and image processing (PRIP) group. We received 122 contributions of which we were able to accept 29 as oral presentations and 31 as posters. Each paper received three reviews, upon which decisions were made based on correctness, presentation, technical depth, scienti?c signi?cance and originality. The selection as oral or poster presentation does not signify a quality grading but re?ects attractiveness to the audience which is also re?ected in the order of appearance of papers in these proceedings. The papers are printed in the same order as presented at the symposium and posters are integrated in the corresponding thematic session. In putting these proceedings together, many people played signi?cant roles which we would like to acknowledge. First of all our thanks go to the authors who contributed their work to the symposium. Second, we are grateful for the dedicated work of the 38 members of the Program Committee for their e?ort in evaluating the submitted papers and inprovidingthe necessarydecisionsupport information and the valuable feedback for the authors. Furthermore, the P- gram Committee awarded prizes for the best papers, and we want to sincerely thank the donors. We were honored to have the following three invited speakers at the conf- ence: – Jan P.

关键词： pattern recognition image processing and computer Vision Artificial Intelligence computer Graphics Algorithm Analysis and Problem Complexity

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Next view planning for a combination of passive and active acquisition techniques

Next view planning for a combination of passive and active a...

引用

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

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

In order to create a complete three-dimensional model of an object based on its two-dimensional images, the images have to be acquired from different views. An increasing number of views generally improves the accuracy of the final 3D model but it also increases the time needed to build the model. The number of the possible views can theoretically be infinite. Therefore, it makes sense to try to reduce the number of views to a minimum while preserving a certain accuracy of the model, especially in applications for which the performance is an important issue. We show an approach to next view planning for a fusion of shape from Silhouette, as an example of a passive 3D reconstruction technique, and shape from structured light, as an example of an active 3D reconstruction technique in order to get 3D shape reconstruction with minimal different views. Results of the algorithm developed are presented for both synthetic and real input images.

关键词： image reconstruction Shape Sensor phenomena and characterization Sensor systems computer vision pattern recognition image processing automation Joining processes Out of order

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Distinguishing 3D-Topological Configurations of Two Tori

Distinguishing 3D-Topological Configurations of Two Tori

引用

International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Adrian Ion Thomas Illetschko Yll Haxhimusa Walter G. Kropatsch Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Austria

Most of the existing work regarding topology preserving hierarchies is mainly preoccupied with 2D domains. But recently attention has turned to 3D, and more generally, nD representations. Even more than in 2D, the necessity for reducing these representations exists and motivates the research in hierarchical structures i.e. pyramids. Using representations that support any dimension, like e.g. the combinatorial map, n dimensional irregular pyramids can be built, thus obtaining reduced representations of the original data, while preserving the topology. This paper presents 3D combinatorial maps and the primitive operations needed to simplify such representations. Minimal configurations of the three primitive topological configurations, simplex, hole, and tunnel, and two possible configurations for two tori are presented. Experimental results and possible applications show the potential of the approach

关键词： Topology image edge detection Geology Solid modeling image segmentation Mechanical factors pattern recognition image processing automation Shape

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Spatial and Spectral Based Segmentation of Text in Multispectral images of Ancient Documents

Spatial and Spectral Based Segmentation of Text in Multispec...

引用

International Conference on Document Analysis and recognition

作者： Martin Lettner Robert Sablatnig Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Austria

ISBN: (纸本)9781424445004

In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to combine the multispectral behavior and contextual spatial information. Therefore we utilize a Markov random field model using the spectral information of the images and stroke properties to include spatial dependencies of the characters. Since the stroke properties and the Gaussian parameters for the imaging model are evaluated automatically the proposed segmentation method requires no training phase. We compared the method to state of the art character segmentation methods and demonstrate the effectiveness of combining spectral and spatial features for the segmentation of characters in multispectral images.

关键词： image segmentation Multispectral imaging image analysis Color Independent component analysis Text analysis Character recognition pattern recognition Markov random fields pattern analysis

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A Portable High Resolution Imaging System for Digitizing Large-Surface Paintings

A Portable High Resolution Imaging System for Digitizing Lar...

引用

Congress on image and Signal processing, CISP

作者： Florian Kleber Robert Sablatnig Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Austria

Digitizing large-surface paintings at a high resolution in museums is necessary in the field of painting conservation to document the actual condition of paintings (e.g. colour measurements) and for analysis (e.g. to analyse underdrawings in high-resolution infrared images). Hence, this paper presents a portable system that is able to scan large-surface paintings or images to provide high-resolution digital images. Additional a 3D-model of the surface of the scanned object is generated. The purpose of the 3D-model is to use the 3D-information to create a planar representation of a once planar painting or image that was deformed through environmental effects. Otherwise uncorrected images lead to blurring in the overlap region of the blended subimages. The resolution of the final image is up to 33 pixel/mm and the size of the scanned object is up to 1.5 m x 1.3 m.

关键词： High-resolution imaging Painting Cameras Hardware image resolution image analysis Digital images Fasteners image processing pattern analysis

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Classification of archaeological fragments using a description language 9

Classification of archaeological fragments using a descripti...

引用

9th European Signal processing Conference, EUSIPCO 1998

作者： Sablatnig, Robert Menard, Christian Kropatseh, Walter Pattern Recognition and Image Processing Group Institute of Automation Vienna University of Technology Treitlstraße 3/183/2 ViennaA-1040 Austria

This paper presents an application of 3D-reconstruction and graph theory in the field of archaeology. The classification and reconstruction of ancient pots and vessels out of fragments (so-called sherds) is an important aspect of archaeological research work. Up to now this is a time consuming, inaccurate, and subjective task which leads to tons of unclassified fragments in archives. computer aided classification could help to get a better understanding of ancient cultures, since all data of an excavation would be accessible to the public, not only- selected parts as it is now. We propose a bottom-up strategy to classify fragments. The profile section (which is a section a the fragment in the direction of the rotational axis) is segmented into its primitives (with certain properties like length) and relations among this primitives (like position and curvature of connecting points). These primitives and the relations form a description language, different profiles have different descriptions.

关键词： Graph theory

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Color-based and context-aware skin detection for online video annotation

Color-based and context-aware skin detection for online vide...

引用

IEEE Workshop on Multimedia Signal processing

作者： Christian Liensberger Julian Stottinger Martin Kampel Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Austria

By analyzing the low level features of images only, skin detection in visual data cannot be solved. To compensate for this major drawback of many approaches, we combine a state of the art recognition algorithm with color model based skin detection. Detected faces in videos are the basis for adaptive skin-color models, which are propagated throughout the video, providing a more precise and accurate model in its recognition performance than pure color based approaches. The approach is able to run in real-time and does not need prior data-specific training. We received challenging online videos from an online service provider and use additional videos from public Web platforms covering a grand variety of different skin-colors, illumination circumstances, image quality and difficulty levels. In an extensive evaluation we estimated the best performing parameters and decide on the best model propagation techniques. We show that adaptive model propagation outperforms static low level detection.

关键词： Skin Face detection image analysis Lighting Internet automation pattern recognition image processing image color analysis pattern analysis

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Combining shape from silhouette and shape from structured light for volume estimation of archaeological vessels

Combining shape from silhouette and shape from structured li...

引用

International Conference on pattern recognition

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

An algorithm for the automatic construction of a 3d model of archaeological vessels using two different 3d algorithms 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 3d shape of objects with handles 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 with two different algorithms; shape from silhouette and shape from structured light. The output of both algorithms are then used to construct a single 3d model. Results of the algorithm developed are presented for both synthetic and real input images.

关键词： Shape image reconstruction automation pattern recognition image processing Manufacturing Ceramics Planing Rain Cameras

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Hierarchical top down enhancement of robust PCA 9th

引用

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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Profile-based Pottery Reconstruction

Profile-based Pottery Reconstruction

引用

IEEE computer Society Conference on computer Vision and pattern recognition Workshops (CVPRW)

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

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.

关键词： image reconstruction Three dimensional displays Surface reconstruction pattern recognition Conferences Shape computer vision

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