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检索条件"机构=Pattern Recognition and Image Processing Group"

共 186 条记录，以下是21-30 订阅

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A graph-based concept for spatiotemporal information in cognitive vision

A graph-based concept for spatiotemporal information in cogn...

引用

5th IAPR International Workshop on Graph-Based Representations in pattern recognition, GbRPR 2005

作者： Ion, Adrian Haxhimusa, Yll Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Austria

A concept relating story-board description of video sequences with spatio-temporal hierarchies build by local contraction processes of spatio-temporal relations is presented. Object trajectories are curves in which their ends and junctions are identified. Junction points happen when two (or more) trajectories touch or cross each other, which we interpret as the "interaction" of two objects. Trajectory connections are interpreted as the high level descriptions. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Graph theory

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Evaluating minimum spanning tree based segmentation algorithms

引用

11th International Conference on Computer Analysis of images and patterns, CAIP 2005

作者： Haxhimusa, Yll Ion, Adrian Kropatsch, Walter G. Illetschko, Thomas Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Austria

ISBN: (纸本)3540289690

Two segmentation methods based on the minimum spanning tree principle are evaluated with respect to each other. The hierarchical minimum spanning tree method is also evaluated with respect to human segmentations. Discrepancy measure is used as best suited to compute the segmentation error between the methods. The evaluation is done using gray value images. It is shown that the segmentation results of these methods have a considerable difference. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Trees (mathematics)

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Automated stroke ending analysis for drawing tool classification

Automated stroke ending analysis for drawing tool classifica...

引用

作者： Vill, Maria C. Sablatnig, Robert Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology 1040 Vienna Austria

ISBN: (纸本)9781424421756

This paper proposes a drawing tool recognition method based on features calculated from the shape of stroke endings. The application for this method is to help art historians to identify the drawing tool used for a drawing. Since the style of a drawing depends on the drawing tool used, drawing tool recognition is an important step toward a style analysis. A dominant feature of a drawn stroke is its ending. Several features regarding curvature, proportions etc. are calculated out of the shape of the endings. These features are then used to classify stroke endings with a SVM classifier. © 2008 IEEE.

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grouping of non-connected structures by an irregular graph pyramid

Grouping of non-connected structures by an irregular graph p...

引用

Second Iberian Conference on pattern recognition and image Analysis, IbPRIA 2005

作者： Kropatsch, Walter G. Haxhimusa, Yll Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Austria

Motivated by claims to 'bridge the representational gap between image and model features' and by the growing importance of topological properties we discuss several extensions to dual graph pyramids: structural simplification should preserve important topological properties and content abstraction could be guided by an external knowledge base. We review multilevel graph hierarchies under the special aspect of their potential for abstraction and grouping. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Graph theory

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Stereo correspondences in scale space 3rd

Stereo correspondences in scale space

引用

3rd Asian Conference on Computer Vision, ACCV 1998

作者： Menard, Christian Pattern Recognition and Image Processing Group Vienna University of Technology TreitlstraBe 3/183/2 ViennaA-1040 Austria

ISBN: (纸本)3540639306

A central problem in stereo matching using correlation techniques lies in selecting the size of the search window. Small windows contain only a small number of data points, and thus are very sensitive to noise and therefore result in false matches. Whereas large search windows contain data from two or more different objects or surfaces, thus the estimated disparity is not accurate due to different projective distortions in the left and the right image. The new method introduces a continuous scale parameter for the matching process. It allows the adaption of the scale for every individual region and overcomes the drawbacks of fixed window sizes which is impressively demonstrated by the experimental results. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Stereo image processing

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Multispectral imaging for analyzing ancient manuscripts

Multispectral imaging for analyzing ancient manuscripts

引用

17th European Signal processing Conference, EUSIPCO 2009

作者： Lettner, Martin Sablatnig, Robert Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology 1040 Vienna Austria

In this paper we propose a method for segmenting characters in multispectral images of ancient documents. Due to the low quality of the document images the main idea of our 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. The whole process is parameter free since we calculate the stroke properties and the Gaussian parameters for the imaging model automatically. The study shows the effectiveness of using multispectral data for a computer aided analysis of ancient text documents. We compare the results of the proposed segmentation method to traditional methods based on color images as well as gray level images. © EURASIP, 2009.

关键词： Computer aided analysis

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Adaptive stereo matching in correlation scale-space 9th

Adaptive stereo matching in correlation scale-space

引用

9th International Conference on image Analysis and processing, ICIAP 1997

作者： Menard, Christian Kropatsch, Walter G. Pattern Recognition and Image Processing Group Vienna University of Technology Treitlstraße 3/183/2 ViennaA-1040 Austria

ISBN: (纸本)3540635076

Stereo computes the distance of objects, "their depth", from two images of two cameras using the triangulation principle. Points of imaged objects are mapped in different locations in the two stereo images. A central problem in stereo matching using correlation techniques lies in selecting the size of the search window. Small windows contain only a small number of data points, and thus are very sensitive to noise and therefore result in false matches. Whereas large search windows contain data from two or more different objects or surfaces, thus the estimated disparity is not accurate due to different projective distortions in the left and the right image. The new method introduces a continuous scale parameter for the matching process. It allows the adaption of the scale for every individual region and overcomes the drawbacks of fixed window sizes which is impressively demonstrated by the experimental results. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Stereo image processing

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Anatomy recognition in CT images of head and neck region via precision atlases

Anatomy recognition in CT images of head and neck region via...

引用

Medical Imaging 2021: image processing

作者： Li, Jieyu Udupa, Jayaram K. Tong, Yubing Odhner, Dewey Torigian, Drew A. Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University China Medical Image Processing Group Department of Radiology University of Pennsylvania United States

ISBN: (纸本)9781510640214

Multi-atlas segmentation methods will benefit from atlases covering the complete spectrum of population patterns, while the difficulties in generating such large enough datasets and the computation burden required in the segmentation procedure reduce its practicality in clinical application. In this work, we start from a viewpoint that different parts of the target object can be recognized by different atlases and propose a precision atlas selection strategy. By comparing regional similarity between target image and atlases, precision atlases are ranked and selected by the frequency of regional best match, which have no need to be globally similar to the target subject at either image-level or object-level, largely increasing the implicit patterns contained in the atlas set. In the proposed anatomy recognition method, atlas building is first achieved by all-totemplate registration, where the minimum spanning tree (MST) strategy is used to select a registration template from a subset of radiologically near-normal images. Then, a two-stage recognition process is conducted: in rough recognition, sub-image level similarity is calculated between the test image and each image of the whole atlas set, and only the atlas with the highest similarity contributes to the recognition map regionally;in refined recognition, the atlases with the highest frequencies of best match are selected as the precision atlases and are utilized to further increase the accuracy of boundary matching. The proposed method is demonstrated on 298 computed tomography (CT) images and 9 organs in the Head and Neck (HN) body region. Experimental results illustrate that our method is effective for organs with different segmentation challenge and samples with different image quality, where remarkable improvement in boundary interpretation is made by refined recognition and most objects achieve a localization error within 2 voxels. © 2021 SPIE.

关键词： image enhancement

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Registration of multi-spectral manuscript images

Registration of multi-spectral manuscript images

引用

8th International Symposium on Virtual Reality, Archaeology, and Intelligent Cultural Heritage, VAST 2007

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

ISBN: (纸本)9783905674019

Two medieval Slavonic manuscripts are recorded, investigated and analyzed by philologists in collaboration with computer scientists. The aim of the project is to develop algorithms that support the philologists by automatically deriving the description and restoration of the scripts. The parchment partially contains two scripts, where the first script was erased. In order to enhance the erased script, the manuscript pages are imaged in seven bands between 330 and 1000 nm. A registration, aligning the resultant images, is necessary so that further image processing algorithms can combine the information gained by the different spectral bands. Therefore, the images are coarsely aligned using rotationally invariant features and an affine transformation. Afterwards, the similarity of the different images is computed by means of the normalized cross correlation. Finally, the images are accurately mapped to each other by the local weighted mean transformation. The algorithms used for the registration and preliminary results are presented in this paper. © The Eurographics Association 2007.

关键词： image enhancement

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Pedestrian tracking based on colour and spatial information

Pedestrian tracking based on colour and spatial information

引用

Digital Imaging Computing: Techniques and Applications, DICTA 2005

作者： Seitner, Florian H. Lovell, Brian C. Pattern Recognition and Image Processing Group Vienna University of Technology Austria National ICT Australia School of ITEE University of Queensland Australia

ISBN: (纸本)0769524672

This paper describes a tracking with appearance modelling system for pedestrians. A cascade of boosted classifiers and Haar-like rectangular features [6, 12] are used for the pedestrian detection. Statistical modelling in the HSV colour space is used for adaptive background modelling and subtraction, where the use of circular statistics for hue is proposed. By using the background model in combination with the detector, the system extracts a feature vector based on colour statistics and the spatial information. Circular [9] and linear statistics are applied on the extracted features to robustly track the pedestrians and other moving objects through the scene. An adaptive appearance model copes with partial or full occlusions and addresses the problem of missing or wrong detections in single frames. © 2005 IEEE.

关键词： Tracking (position)

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