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International Conference on Intelligent Transportation

作者： B. Alefs M. Clabian H. Bischof W. Kropatsch F. Khairallah Advanced Computer Vision GmbH-ACV Vienna Austria Advanced Computer Vision GmbH-ACV Austria Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Computer Science Department University of Technology Vienna Vienna Austria TRW Automotive GmbH Farmington Hills MI USA

Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occupant and the position of the occupant's head. This work presents a method for classification and occupant's head detection based on passive stereo vision. The proposed system uses depth surface analysis and scene statistics together with support vector machines for classification and selection of head candidates. Evaluation of the method shows 99% correct for classification and 98% correct for head detection, using large sets of image data, and image sequences recorded in a driving vehicle.

关键词： Robustness Magnetic heads Vehicle crash testing Sensor systems Stereo vision Layout Statistical analysis Support vector machines Support vector machine classification Vehicle detection

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Microscopic Halftone image Segmentation

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Journal of Donghua University(English Edition) 2004年第5期000卷

作者： WANG Yong-gang YANG Jie DING Yong-sheng WANG Yong-gang(Institute of Image Processing & pattern Recognition Shanghai Jiaotong University Shanghai 200030) YANG Jie(College of Information Science and Technology Donghua University Shanghai 200051 Digitized Textile & Fashion Technology Engineering Research Center of National Education Ministry Donghua University Shanghai 200051)

Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f1f2f3 color space is superior to the rest.

关键词： image segmentation color halftone printing FCM color space

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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

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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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Construction of combinatorial pyramids

Construction of combinatorial pyramids

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

作者： Brun, Luc Kropatsch, Walter G. Université de Reims France Institute for Computer-aided Automation Pattern Recognition and Image Processing Group Vienna Univ. of Technology Austria

ISBN: (纸本)354040452X

Irregular pyramids are made of a stack of successively reduced graphs embedded in the plane. Each vertex of a reduced graph corresponds to a connected set of vertices in the level below. One connected set of vertices reduced into a single vertex at the above level is called the reduction window of this vertex. In the same way, a connected set of vertices in the base level graph reduced to a single vertex at a given level is called the receptive field of this vertex. The graphs used in the pyramid may be region adjacency graphs, dual graphs or combinatorial maps. This last type of pyramids are called Combinatorial Pyramids. Compared to usual graph data structures, combinatorial maps encode one graph and its dual within a same formalism and offer an explicit encoding of the orientation of edges around vertices. This paper describes the construction scheme of a Combinatorial Pyramid. We also provide a constructive definition of the notions of reduction windows and receptive fields within the Combinatorial Pyramid framework. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Graphic methods

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Painting crack elimination using viscous morphological reconstruction

Painting crack elimination using viscous morphological recon...

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International Conference on image Analysis and processing

作者： A. Hanbury P. Kammerer E. Zolda Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

A method for the elimination of cracks in infrared reflectograms is presented. Infrared reflectograms show the underdrawing - the basic concept of the artist drawn on the ground layer - in ancient wood panel paintings. Caused by the different mechanical behaviour of the panel and the covering ground layer during the aging of the painting, cracks appear. Cracks not only disturb the appearance of a painting, but are also a problem for segmenting the lines and strokes of the underdrawing. A method based on mathematical morphology, namely morphological reconstruction with viscosity, is used to eliminate the cracks while keeping as much detail as possible in the brush strokes. A priori information that the cracks are usually thinner than the brush strokes and have a preferred orientation is taken into account.

关键词： Painting Infrared imaging image reconstruction Aging Art image analysis Pigments Data mining pattern recognition image processing

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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...

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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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Profile-based Pottery Reconstruction

Profile-based Pottery Reconstruction

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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

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

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Virtual reconstruction of broken and unbroken pottery

Virtual reconstruction of broken and unbroken pottery

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

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

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. Due to the nature of ceramics, most of the excavated vessels are in the form of fragments called sherds. Only a few of the finds are complete, however these finds are the most important and interesting ones. Therefore we are developing a system that handles both complete and broken vessels using two different reconstruction strategies: A shape from silhouette based method for complete vessels and a profile based method for fragments. The profile is the cross-section of the fragment in the direction of the rotational axis of symmetry and can be represented by a closed curve in the plane. For complete vessels the 3D reconstruction is based on a sequence of images of the object taken from different viewpoints. Then the output of both algorithms is used to construct the 3D model of the vessel for classification and display.

关键词： image reconstruction Ceramics Documentation Educational technology Automation pattern recognition image processing Shape Three dimensional displays Cultural differences

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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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