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

共 186 条记录，以下是11-20 订阅

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Open-close by reconstruction on CNNUM

Open-close by reconstruction on CNNUM

引用

9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA

作者： Zhang, Qingli Zhang, Zhaoyang Image Processing and Pattern Recognition Laboratory Shanghai University 200072 Shanghai China Image Processing Laboratory Group of Image Processing and Transmission Shanghai University 200072 Shanghai China

Open-dose by reconstruction is one of the most important algorithms in mathematical morphology, it was used widely in image and video processing, but it requires the huge computational power, what is the bottleneck for application. So in this paper, Cellular Neural Network (CNN) is used to solve the problem, new +1 template and "and" template are designed here, along with the already developed templates and image preprocessing technique, the gray-scale open-close by reconstruction is realized. Experimental results based on CNN simulator are shown, proved that the speed on CNN is about 300 times faster than in traditional PC, the real time processing can be realized.

关键词： Cellular neural networks

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Speed estimation for scene objects using stereo visual odometry methods

Speed estimation for scene objects using stereo visual odome...

引用

2013 IEEE 9th International Conference on Intelligent Computer Communication and processing, ICCP 2013

作者： Golban, Catalin Nedevschi, Sergiu Image Processing and Pattern Recognition Group Computer Science Department Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781479914937

This paper proposes a novel method to determine the speed of the surrounding vehicles in traffic scenarios. Relying on the video information obtained from a stereo camera mounted on a moving vehicle, we first determine the vehicle ego motion based on static scene features then we determine the relative motion between objects based on features situated on the moving objects. For robustness to false feature matches everything is plugged into a multi-RANSAC framework. The novelty of the method consist in the fact that the relative motion between the objects can be determined with the same algorithm that was previously used for ego motion estimation, the only difference consisting in the geometric constraints that are imposed to the subset of point features considered for inliers set detection and evaluation. Also, the proposed method does not rely on the fact that objects are detected previously and it does not detect the objects. © 2013 IEEE.

关键词： Vehicles

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Shape classification according to LBP persistence of critical points 19th

Shape classification according to LBP persistence of critica...

引用

19th IAPR International Conference on Discrete Geometry for Computer imagery, DGCI 2016

作者： Janusch, Ines Kropatsch, Walter G. Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms TU Wien Vienna Austria

ISBN: (纸本)9783319323596

This paper introduces a shape descriptor based on a combination of topological image analysis and texture information. Critical points of a shape’s skeleton are determined first. The shape is described according to persistence of the local topology at these critical points over a range of scales. The local topology over scale-space is derived using the local binary pattern texture operator with varying radii. To visualise the descriptor, a new type of persistence graph is defined which captures the evolution, respectively persistence, of the local topology. The presented shape descriptor may be used in shape classification or the grouping of shapes into equivalence classes. Classification experiments were conducted for a binary image dataset and the promising results are presented. Because of the use of persistence, the influence of noise or irregular shape boundaries (e.g. due to segmentation artefacts) on the result of such a classification or grouping is bounded. © Springer International Publishing Switzerland 2016.

关键词： Local binary pattern

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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

ICDAR2009 - 10th International Conference on Document Analysis and recognition

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

ISBN: (纸本)9780769537252

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. © 2009 IEEE.

关键词： image segmentation

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Abstraction pyramids on discrete representations 10th

引用

10th International Conference on Discrete Geometry for Computer imagery, DGCI 2002

作者： Kropatsch, Walter G. Institute for Computer-Aided Automation Pattern Recognition and Image Processing Group Vienna Univ. of Technology Austria

ISBN: (纸本)3540433805

We review multilevel hierarchies under two special aspects: their potential for abstraction and for storing discrete representations. 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 and to topological maps: structural simplification should preserve important topological properties and content abstraction could be guided by an external knowledge base. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Abstracting

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Automated investigation of archaeological vessels

Automated investigation of archaeological vessels

引用

14th European Signal processing Conference, EUSIPCO 2006

作者： Kampel, M. Mara, H. Sablatnig, Robert Vienna University of Technology Pattern Recognition and Image Processing Group Favoritenstrasse 9/183 1040 Vienna Austria

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. This paper shows a method to answer archaeological questions about the manufacturing process of ancient ceramics, which is important to determine the technological advancement of ancient culture. The method is based on the estimation of the profile lines of ceramic fragments, which can also be applied to complete vessels. With the enhancements shown in this paper, archaeologists get a tool to determine ancient manufacturing techniques.

关键词： Ceramic materials

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Evaluation of object tracking for aircraft activity surveillance

Evaluation of object tracking for aircraft activity surveill...

引用

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

作者： Thirde, David Borg, Mark Aguilera, Josep Ferryman, James Baker, Keith Kampel, Martin Computational Vision Group University of Reading United Kingdom Pattern Recognition and Image Processing Group Vienna University of Technology Austria

ISBN: (纸本)0780394240

This paper presents the evaluation of an object tracking system that has been developed in the context of aircraft activity monitoring. The overall tracking system comprises three main modules -Motion Detection, Object Tracking and Data Fusion. In this paper we primarily focus on performance evaluation of the object tracking module, with emphasis given to the general 2D tracking performance and the 3D object localisation. ©2005 IEEE.

关键词： Aircraft

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Reeb graphs through local binary patterns 10

Reeb graphs through local binary patterns

引用

10th IAPR-TC-15 International Workshop on Graph-Based Representations in pattern recognition, GbRPR 2015

作者： Janusch, Ines Kropatsch, Walter G. Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Vienna Austria

ISBN: (纸本)9783319182230

This paper presents an approach to derive critical points of a shape, the basis of a Reeb graph, using a combination of a medial axis skeleton and features along this skeleton. A Reeb graph captures the topology of a shape. The nodes in the graph represent critical points (positions of change in the topology), while edges represent topological persistence. We present an approach to compute such critical points using Local Binary patterns. For one pixel the Local Binary pattern feature vector is derived comparing this pixel to its neighbouring pixels in an environment of a certain radius. We start with an initial segmentation and a medial axis representation. Along this axis critical points are computed using Local Binary patterns with the radius, defining the neighbouring pixels, set a bit larger than the radius according to the medial axis transformation. Critical points obtained in this way form the node set in a Reeb graph, edges are given through the connectivity of the skeleton. This approach aims at improving the representation of flawed segmented data. In the same way segmentation artefacts, as for example single pixels representing noise, may be corrected based on this analysis. © Springer International Publishing Switzerland 2015.

关键词： image segmentation

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Higher order MRF for foreground-background separation in multi-spectral images of historical manuscripts 10

Higher order MRF for foreground-background separation in mul...

引用

2010 IAPR Workshop on Document Analysis Systems, DAS 2010

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

ISBN: (纸本)9781605587738

Multi-spectral imaging for the analysis and preservation of ancient documents has gained high attention in recent years. While readability enhancement is based on the multi-spectral image corpus, foreground-background separation still relies mainly on gray level or color images. In this paper we propose a foreground-background separation algorithm designed for multi-spectral images. The main contribution is the simultaneously utilization of spectral and spatial features. While spectral features incorporate the spectral components of the multi-spectral images, the spatial features are based on stroke properties. Higher order Markov Random Fields enables an efficient way to combine both features. To solve higher order energy functions, we introduce a new message update rule in the well known belief propagation algorithm based on a higher order potential function. Copyright 2010 ACM.

关键词： image enhancement

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Automated multi-camera surveillance for the prevention and investigation of bank robberies in Austria: A case study

Automated multi-camera surveillance for the prevention and i...

引用

3rd International Conference on Imaging for Crime Detection and Prevention, ICDP 2009

作者： Zambanini, S. Blauensteiner, P. Kampel, M. Pattern Recognition and Image Processing Group Vienna University of Technology Favoritenstr. 9/1832 1040 Vienna Austria

ISBN: (纸本)9781849192071

In this paper we present the recently granted tripleB-ID project that aims to detect suspicious actions and criminal offences in bank foyers. Based on the situation in Austria and on the actual needs of our partner bank, we deduce scenarios of interest and analyse the technical challenges. As a preliminary work, we furthermore present a fully automated method for the mapping between a static and a dynamic camera and show how this can be used to easily and fast set up a master-slave camera system.

关键词： Mapping

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