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A Region-Based Representation of images in MARS

Journal of VLSI Signal processing Systems for Signal, image, and Video technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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Stereo correspondences in scale space 3rd

Stereo correspondences in scale space

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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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Adaptive stereo matching in correlation scale-space 9th

Adaptive stereo matching in correlation scale-space

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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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Stereo matching using M-estimators 7th

Stereo matching using M-estimators

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7th International Conference on Computer Analysis of images and patterns, CAIP 1997

作者： Menard, Christian Leonardis, Aleš Pattern Recognition and Image Processing Group Vienna University of Technology Treitlstraße 3/183/2 Vienna Austria University of Ljubljana Slovenia

ISBN: (纸本)3540634606

Stereo computation is just one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results that cannot be corrected in subsequent processing stages. In this work the standard area-based correlation approach is modified so that it can tolerate a significant number of outliers. The approach exhibits a robust behaviour not only in the presence of mismatches but also in the case of depth discontinuities. Experimental results are given on synthetic and real images. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Statistics

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Computational complexity reduction in eigenspace approaches 7th

Computational complexity reduction in eigenspace approaches

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7th International Conference on Computer Analysis of images and patterns, CAIP 1997

作者： Leonardis, Aleš Bischof, Horst Vienna University of Technology Institute for Automation Pattern Recognition and Image Processing Group Treitlstraße 3/1832 ViennaA-1040 Austria University of LjubIjana Tržaška 25 LjubljanaSI-1001 Slovenia

ISBN: (纸本)3540634606

Matching of appearance-based object representations using eigenimages is computationally very demanding. Most commonly, to recognize an object in an image, parts of the input image are projected onto the eigenspace and the recovered coefficients indicate the presence or absence of a particular object. In general, the process is sequentially applied to the entire image. In this paper we discuss how to alleviate the problems related to complexity. First, we propose to use a focus-ofattention (FOA) detector which is intended to select candidate areas of interest with minimal computational effort. Only at these areas we then recover the coefficients of eigenimages. Secondly, we propose to employ a multiresolution approach. However, this requires that we depart from the standard way of calculating the coefficients of the eigenimages which relies on the orthogonality property of eigenimages. Instead we calculate them by solving a system of linear equations. We show the results of our approach on real data. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Computers

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Digital topologies revisited: An approach based on the topological point-neighbourhood 7th

Digital topologies revisited: An approach based on the topol...

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7th International Workshop on Discrete Geometry for Computer imagery, DGCI 1997

作者： Ptak, Pavel Kofler, Helmut Kropatsch, Walter Center for Machine Perception CMP - Czech Technical University Karlovo nam. 13 Praha 2121 35 Czech Republic Pattern Recognition and Image Proc. Group - PRIP Vienna University of Technology Treitlstr.3 ViennaA-1040 Austria

ISBN: (纸本)3540638849

Adopting the point-neighbourhood definition of topology, which we think may in some cases help acquire a very good insight of digital topologies, we unify the proof technique of the results on 4-connectedness and on 8-connectedness in 2. We also show that there is no topology compatible with 6-connectedness. We shortly comment on potential further use of this approach. © Springer-Vertag Berlin Heidelberg 1997.

关键词： Topology

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An efficient moving target identification method

An efficient moving target identification method

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IEEE International Conference on Intelligent processing Systems, ICIPS

作者： Nong Shang Tianxu Zhang Jiaxiong Peng Inst. for Pattern Recognition & Artifical Intelligence Huazhong Univ. of Sci. & Technol. Hubei China Institute for pattern Recognition and Artificial intelligence state Education commission Laboratory for Image processing and Intelligent control Huazhong University of Science슠and슠Technology Wuhan Hubei China

ISBN: (纸本)0780342534

Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background registration, we can determine those candidate regions that have the same or similar noise distributions to the background's which should be background regions, and those candidate regions that have different noise distributions from the background's which should be the target region. In particular, when there is only one target in the image, we can simply determine that the candidate region whose noise distribution is most different from the background's is the true target.

关键词： Background noise image sequences

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Matching confidence analysis method based on tests of hypotheses

Matching confidence analysis method based on tests of hypoth...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Nong Sang Ruolin Wang Tianxu Zhang Institute for Pattern Recognition and Artificial Intelligence State E ducation Commission Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei China Department of Civil Engineering Wuhan University of Hydraulic and Electrical Engineering Hubei China

ISBN: (纸本)0780340531

Matching confidence is an important element for evaluating image matching quality. A method is presented which uses the technique of tests of hypotheses to determine image matching confidence under a certain testing level. The authors use similarity measurement values to be the statistics. Experimental results with large real images prove the effectiveness of the method to determine image matching confidence.

关键词： Testing image matching Stereo image processing image reconstruction Statistics Navigation Remotely operated vehicles pattern matching Layout Optimized production technology

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Flexible automatic visual inspection based on the separation of detection and analysis

Flexible automatic visual inspection based on the separation...

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13th International Conference on pattern recognition, ICPR 1996

作者： Sablatnig, Robert Department of Pattern Recognition and Image Processing Technical University Vienna Treitlsrr. 3/183-2 A-1040 Vienna Austria

ISBN: (纸本)081867282X

Since the mid-1970s, a large number of visual inspection systems and algorithms for industrial inspection have been developed. To be acceptable in industry, vision systems must be inexpensive, within the speed of the production-line flow, and very accurate. Furthermore the system should be flexible enough to accommodate changes in products. This flexibility can only be achieved by a modular concept that allows a quick and inexpensive adaption of the inspection process to changes in production. This paper presents a concept for visual inspection where the detection of primitives is separated from the model-based analysis process. Existing pattern recognition software is re-used in the detection stage and therefore the use of any detection algorithm is possible without changing the analysis process. The visual inspection of analog display measuring instruments serves as a demonstration of this concept. Results concerning time, accuracy, and reliability for the specific inspection task are given at the end of the paper. © 1996 IEEE.

关键词： Inspection

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Complexity optimization of adaptive RBF networks

Complexity optimization of adaptive RBF networks

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13th International Conference on pattern recognition, ICPR 1996

作者： Leonardis, Aleš Bischof, Horst Department for Pattern Recognition and Image Processing Technical University Vienna Treitlstraße 3/1832 A -1040 Vienna Austria University of Ljubljana Faculty of Computer and Information Science Computer Vision Laboratory Ljubljana Slovenia

ISBN: (纸本)081867282X

We propose an extension of RBF networks which includes a mechanism for optimizing the complexity of the network. The approach involves two procedures: adaptation (training) and selection. The first procedure adaptively changes the locations and the width of the centers of the basis functions and trains the linear weights. The selection procedure performs the elimination of some of the basis functions using an objective function. By iteratively combining these two procedures we achieve a controlled way of training and modifying RBF networks, which balances accuracy, learning time, and complexity of the resulting network. © 1996 IEEE.

关键词： Radial basis function networks

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