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Minimizing the topological structure of line images 7th

7th Joint IAPR International Workshop on Structural and Syntactic pattern recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in pattern recognition, SPR 1998

作者： Kropatsch, Walter G. Burge, Mark Vienna University of Technology Institute of Automation 183/2 Pattern Recognition and Image Processing Group Treitlstr.3 WienA-1040 Austria Johannes Kepler University Institute of Systems Science Computer Vision Laboratory LinzA-4040 Austria

ISBN: (纸本)3540648585

We present a new algorithm based on Dual Graph Contraction (DGC) to transform the Run Graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) steps. A MLPP graph of a line image compliments the structural information in geometric graph representations like the run graph. Using such a graph and its dual, line image analysis systems can efficiently detect topological features like loops and holes and make use of relations like containment. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Topology

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Hierarchical classification of paintings using face- and brush stroke models

Hierarchical classification of paintings using face- and bru...

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International Conference on pattern recognition

作者： R. Sablatnig P. Kammerer E. Zolda Institute of Automation Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

It is often difficult to attribute works of art to a certain artist. In the case of paintings, radiological methods like X-ray and infra-red diagnosis, digital radiography, computer-tomography, etc. and color analyzes are employed to authenticate works of art. But all these methods do not relate certain characteristics of an art work to a specific artist-the artist's personal style. In order to study this personal style, we examine the "structural signature" based on brush strokes in particular in portrait miniatures. A computer-aided classification and recognition system for portrait miniatures is developed, which enables a semi-automatic classification based on brush strokes. A hierarchically structured classification scheme is introduced which separates the classification into three different levels of information: color, shape of region, and structure of brush strokes.

关键词： Painting Art Humans Face Automation pattern recognition image processing Postal services Trademarks Rhythm

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A PARALLEL COORDINATIVE VISUAL MODEL—THE PLATE PARALLEL RETRIEVAL MODEL(PPRM)

A PARALLEL COORDINATIVE VISUAL MODEL—THE PLATE PARALLEL RET...

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1998 Fourth International Conference Signal processing

作者： Wang Tianzhen Li Zhou Chang Suwen Wu Zhongyi Du ping Image Processing Lab.Wuhan Automative Polytechnical University National lab.of Pattern Recognition Institute of Automation Chinese Academy of Sciences Station Education Commission Laboratory for Image Processing and Intelligent Control China

In this paper,a parallel coordinative visual model—The revised Plate Parallel Retrieval Model(Wang 1994) [1]is presented based on the analysis of the global effect of Chinese Characters and the recent neurobiological researches on the function of neuroglia in learning and *** theory assumes that visual neurons possess the function of memory and retrieval in addition to the commonly recognised function of signal *** supposes all the pixels on the array of a Chinese character are encoded,stored and relieved simultaneously and sychronously by each neuron separately.

关键词： A PARALLEL COORDINATIVE VISUAL MODEL THE PLATE PARALLEL RETRIEVAL MODEL

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A parallel coordinative visual model-the plate parallel retrieval model (PPRM)

A parallel coordinative visual model-the plate parallel retr...

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International Conference on Signal processing Proceedings (ICSP)

作者： Wang Tianzhen Li Zhou Chang Suwen Wu Zhongyi Du ping National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China Image Processing Laboratory Wuhan Automotive Polytechnic University Wuhan China

In this paper, a parallel coordinative visual model-the revised plate parallel retrieval model (Wang Tianzhen et al, 1994) is presented based on the analysis of the global effect of Chinese characters and the recent neurobiological research on the function of neuroglia in learning and memory. The theory assumes that visual neurons possess the function of memory and retrieval in addition to the commonly recognised function of signal transformation. It supposes all the pixels in the array of a Chinese character are encoded, stored and retrieved simultaneously and synchronously by each neuron separately. In the model, neuroglia cells play an important role in the integration of the visual signal. The model cannot only satisfactorily explain both the global effect and strokes effect, but can also explain the implicit memory of Chinese characters as well. We have experimented on an SIMD array processor to prove the viability of the PPR algorithm. The results are satisfactory. The model can be extended to general shape vision with some conditions.

关键词： Neurons Character recognition image retrieval image processing Frequency Visual system Information retrieval Centralized control Biomembranes Switches

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Object-detection with a varying number of eigenspace projections

Object-detection with a varying number of eigenspace project...

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14th International Conference on pattern recognition, ICPR 1998

作者： Reiter, Michael Matas, Jiri Pattern Recognition and Image Processing Group Institute for Automation Vienna University of Technology A-1040 Vienna Austria CVSSP School of EE IT and Mathematics University of Surrey Guildford Surrey GU2 5XH United Kingdom

ISBN: (纸本)0818685123

We present a method allowing a significant speed-up of the eigen-detection method (detection based on principle component analysis). We derive a formula for an upper bound on the class-conditional probability (or equivalently a lower bound on the Mahalanobis distance) on which detection is based. Often, the lower bound of Mahalanobis distance (MD) reaches a preset threshold after computation of only a few eigen-projections. In this case the computation of MD can be immediately terminated. Regardless of the precise value of MD, the detection hypothesis (object from class Ω is detected) can be rejected. While provably obtaining results identical to the standard technique, we achieved a two- to three-fold speed-up in face detection experiments on images from the CMU database. © 1998 IEEE.

关键词： Face recognition

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Object matching on irregular pyramid

Object matching on irregular pyramid

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14th International Conference on pattern recognition, ICPR 1998

作者： Pailloncy, Jean-Gérard Kropatsch, Walter Jolion, Jean-Michel Reconnaissance de Formes et Vision RFV INSA Bat. 403 20 Av. Albert Einstein F-69621 Villeurbanne France Pattern Recognition and Image Processing PRIP University of Technology Treitlstr. 3 / 1832 A-1040 Vienna Austria

ISBN: (纸本)0818685123

The matching of an object, a region of an image segmentation, to a template is a heavy computation process and is not very robust. We represent an object by a region adjacency graph (RAG) on the top of which a pyramid (a decreasing sequence of RAG) is built according to a set of rules, which verify some uniqueness and uniformity properties. The contraction process preserves the structure of the RAG across the pyramid's levels, and the rules are chosen according to the characteristics of the template. By building such a pyramid and then by a top-down process to match all the sub-graphs we have a linear parallel complexity time, with a robust match and a partial match relative to the given set of rules. © 1998 IEEE.

关键词： image segmentation

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Object matching on irregular pyramid

Object matching on irregular pyramid

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International Conference on pattern recognition

作者： J.-G. Pailloncy W. Kropatsch J.-M. Jolion Reconnaissance de Formes et Vision RFV INSA Lyon Villeurbanne France Pattern Recognition & Image Processing PRIP University of Technology Vienna Austria

关键词： image segmentation Robustness Kernel Reconnaissance pattern recognition image processing pattern matching Computer vision Buildings Data structures

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Object-detection with a varying number of eigenspace projections

Object-detection with a varying number of eigenspace project...

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International Conference on pattern recognition

作者： M. Reiter J. Matas Pattern Recognition and Image Processing Group Institute for Automation University of Technology Vienna Vienna Austria CVSSP School of EE IT and Mathematics University of Surrey Guildford Surrey UK

We present a method allowing a significant speed-up of the eigen-detection method (detection based on principle component analysis). We derive a formula for an upper bound on the class-conditional probability (or equivalently a lower bound on the Mahalanobis distance) on which detection is based. Often, the lower bound of Mahalanobis distance (MD) reaches a preset threshold after computation of only a few eigen-projections. In this case the computation of MD can be immediately terminated. Regardless of the precise value of MD, the detection hypothesis (object from class /spl Omega/ is detected) can be rejected. While provably obtaining results identical to the standard technique, we achieved a two- to three-fold speed-up in face detection experiments on images from the CMU database.

关键词： Face detection Upper bound Object detection Lips pattern recognition image processing Automation Mathematics Electronic switching systems Read only memory

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A background-thinning based algorithm for separating connected handwritten digit strings

A background-thinning based algorithm for separating connect...

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Zhongkang Lu Zheru Chi Pengfei Shi Department of Electronic Engineering Hong Kong Polytechnic University Kowloon Hong Kong China Institute of Pattern Recognition & Image Processing Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0780344286

Most algorithms for segmenting connected handwritten digit strings are based on the analysis of the foreground pixel distributions and the features on the upper/lower contours of the image. A new approach is presented to segment connected handwritten two-digit strings based on the thinning of background regions. The algorithm first locates several feature points on the background skeleton of the digit image. Possible segmentation paths are then constructed by matching these feature points. With geometric property measures, these segmentation paths are ranked using fuzzy rules generated from a decision-tree approach. Finally, the top ranked segmentation paths are tested one by one by an optimized nearest neighbor classifier until one of these candidates is accepted based on an acceptance criterion. Experimental results on NIST special database 3 show that our approach can achieve a correct classification rate of 92.4% with only 4.7% of digit strings rejected, which compares favorably with the other techniques tested.

关键词： image segmentation Skeleton Flowcharts Testing image analysis Nearest neighbor searches Character recognition Optical character recognition software Feature extraction Table lookup

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A Region-Based Representation of images in MARS

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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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