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A taxonomy of occlusion in view signature II representations: A regular language for the representation of 3-D rigid solid objects 7th

引用

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： Cole, Peter A. R. Department of Information Technology Murdoch University MurdochWA6150 Australia

ISBN: (纸本)3540648585

the View Signature II (VSII) representation is a viewer-centred modelling scheme. the VSII representation requires one VSII view signature to represent a single view of an object and is invariant to rotation about the z axis. this is achieved by constructing a linear string of alpha-numeric characters from circular strings representing different concentric levels in a view of an object. the tokens and algorithmic methods for the construction of a VSII produce a regular language for the modelling of 3-D rigid solid objects. this paper briefly describes the VSII representation and the general construction methods. Due to the cyclic nature of the representation it has been possible to define a taxonomy of occlusion in VSII representations. this paper discusses the differing forms of occlusion and gives methods where appropriate to assist in matching occluded views with complete views in the model store. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Taxonomies

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Estimation of distribution algorithm for the Max-Cut problem

Estimation of distribution algorithm for the Max-Cut problem

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9th IAPR-TC-15 international workshop on graph-based representations in pattern recognition, GbRPR 2013

作者： De Sousa, Samuel Haxhimusa, Yll Kropatsch, Walter G. Vienna University of Technology Pattern Recognition and Image Processing Group Vienna Austria

ISBN: (纸本)9783642382208

In this paper, we investigate the Max-Cut problem and propose a probabilistic heuristic to address its classic and weighted version. Our approach is based on the Estimation of Distribution Algorithm (EDA) that creates a population of individuals capable of evolving at each generation towards the global solution. We have applied the Max-Cut problem for image segmentation and defined the edges' weights as a modified function of the L2 norm between the RGB values of nodes. the main goal of this paper is to introduce a heuristic for Max-Cut and additionally to investigate how it can be applied in the segmentation context. © 2013 Springer-Verlag.

关键词： Image segmentation

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Comparing string representations and distances in a natural images classification task

Comparing string representations and distances in a natural ...

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5th IAPR international workshop on graph-based representations in pattern recognition, GbRPR 2005

作者： Ros, Julien Laurent, Christophe Jolion, Jean-Michel Simand, Isabelle France Telecom R and D TECH IRIS 4 rue du Clos Courtel 35512 Cesson Sevigne Cedex France LIRIS PRE CNRS 3672 INSA INSA Lyon 9621 Villeurbanne cedex France

this paper shows how strings can be used in a natural images classification task. We propose to build an attributed string from a set of regions of interest detected thanks to an interest point detector. these salient zones are characterized by local signatures describing singularities and they are linked by using graph seriation algorithms and perceptual methods. Once each image is represented by a string of signatures, we propose to use string-based edit distances and an ordered histograms-based distance in order to perform the classification task. Experiments have shown that whereas seriation algorithms give approximately the same results, the ordered histogram based distance is more efficient for the considered application. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image analysis

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Divergence measures for time-frequency distributions

Divergence measures for time-frequency distributions

引用

7th international Symposium on Signal Processing and Its Applications

作者： Aviyente, S Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)0780379462

Distance measures between statistical models or between a model and observations are widely used concepts in signal processing. they are commonly used in solving problems such as detection, automatic segmentation, classification, pattern recognition and coding. In recent years, there has been an interest in extending these distance measures to the time-frequency plane. It has been suggested that these measures can be used for discriminating between nonstationary signals based on their time-frequency representations. In this paper, several well-known distance measures from information theory will be adapted to the time-frequency plane. the application of these measures for signal detection will be presented. the performance of these measures will be illustrated through an example.

关键词： pattern recognition

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7th international workshop on representations, Analysis and recognition of Shape and Motion from Imaging Data, RFMI 2017

7th International Workshop on Representations, Analysis and ...

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7th international workshop on representations, Analysis and recognition of Shape and Motion from Imaging Data, RFMI 2017

ISBN: (纸本)9783030198152

the proceedings contain 17 papers. the special focus in this conference is on representations, Analysis and recognition of Shape and Motion from Imaging Data. the topics include: Rapid urban 3D modeling for drone-based situational awareness assistance in emergency situations;Defining mesh-LBP variants for 3D relief patterns classification;a normalized generalized curvature scale space for 2D contour representation;a new watermarking method based on analytical clifford fourier mellin transform;simultaneous semi-supervised segmentation of category-independent objects from a collection of images;brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure;Global and regional deformation analysis of the myocardium: MRI data application;On the reliability of LSTM-MDL models for pedestrian trajectory prediction;pedestrian tracking in the compressed domain using thermal images;an image processing framework for automatic tracking of wave fronts and estimation of wave front velocity for a gas experiment;the algorithm and software for timber batch measurement by using image analysis;stereo matching confidence learning based on multi-modal convolution neural networks;multi-person head segmentation in low resolution crowd scenes using convolutional encoder-decoder framework;crossEncoder: Towards 3D-free depth face recovery and fusion scheme for heterogeneous face recognition;neural approach for context scene image classification based on geometric, texture and color information.

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Extending morphological signatures for visual pattern recognition

Extending morphological signatures for visual pattern recogn...

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7th international workshop on pattern recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007

作者： Lefèvre, Sébastien LSIIT CNRS University Louis Pasteur Strasbourg i Parc d'Innovation Bvd Brant 67412 Illkirch Cedex France

ISBN: (纸本)9789728865931

Morphological signatures are powerful descriptions of the image content which are based on the framework of mathematical morphology. these signatures can be computed on a global or local scale: they are called pattern spectra (or granulometries and antigranulometries) when measured on the complete images and morphological profiles when related to single pixels. their goal is to measure shape distribution instead of intensity distribution, thus they can be considered as a relevant alternative to classical intensity histograms, in the context of visual pattern recognition. A morphological signature (either a pattern spectrum or a morphological profile) is defined as a series of morphological operations (namely openings and closings) considering a predefined pattern called structuring element. Even if it can be used directly to solve various pattern recognition problems related to image data, the simple definitions given in the binary and grayscale cases limit its usefulness in many applications. In this paper, we introduce several 2-D extensions to the classical 1-D morphological signature. More precisely, we elaborate morphological signatures which try to gather more image information and do not only include a dimension related to the object size, but also consider on a second dimension a complementary information relative to size, intensity or spectral information. Each of the 2-D morphological signature proposed in this paper can be defined either on a global or local scale and for a particular kind of images among the most commonly ones (binary, grayscale or multispectral images). We also illustrate these signatures by several real-life applications related to object recognition and remote sensing.

关键词： Mathematical morphology

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Incremental non-negative matrix factorization for dynamic background modelling

Incremental non-negative matrix factorization for dynamic ba...

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7th international workshop on pattern recognition in Information Systems PRIS 2007;In Conjunction with ICEIS 2007

作者： Bucak, Serhat S. Gunsel, Bilge Gursoy, Ozan Multimedia Signal Processing and Pattern Recognition Lab. Dept. of Electronics and Comm. Eng. Istanbul Technical University 34469 Maslak Istanbul Turkey

ISBN: (纸本)9789728865931

In this paper, an incremental algorithm which is derived from Non-negative Matrix Factorization (NMF) is proposed for background modeling in surveillance type of video sequences. the adopted algorithm, which is called as Incremental NMF (INMF), is capable of modeling dynamic content of the surveillance video and controlling contribution of the subsequent observations to the existing representation properly. INMF preserves additive, parts-based representation, and dimension reduction capability of NMF without increasing the computational load. Test results are reported to compare background modeling performances of batch-mode and incremental NMF in surveillance type of video. Moreover, test results obtained by the incremental PCA are also given for comparison purposes. It is shown that INMF outperforms the conventional batch-mode NMF in all aspects of dynamic background modeling. Although object tracking performance of INMF and the incremental PCA are comparable, INMF is much more robust to illumination changes.

关键词： Non-negative matrix factorization

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MDL-based selection of the number of components in mixture models for pattern classification 7th

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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： Tenmoto, Hiroshi Kudo, Mineichi Shimbo, Masaru Division of Systems and Information Engineering Graduate School of Engineering Hokkaido University Sapporo060-8628 Japan

ISBN: (纸本)3540648585

A new method is proposed for selection of the optimal number of components of a mixture model for pattern classification. We approximate a class-conditional density by a mixture of Gaussian components. We estimate the parameters of the mixture components by the EM (Expectation Maximization) algorithm and select the optimal number of components on the basis of the MDL (Minimum Description Length) principle. We evaluate the goodness of an estimated model in a tradeoff between the number of the misclassified training samples and the complexity of the model. © Springer-Verlag Berlin Heidelberg 1998.

关键词： pattern recognition

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Using PEGs for automatic extraction of memory access descriptions to support data-parallel pattern recognition 17

Using PEGs for automatic extraction of memory access descrip...

引用

8th workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 6th workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms, PARMA-DITAM 2017

作者： Auras-Rodríguez, María H. Zimmermann, Anthony Ascheid, Gerd Leupers, Rainer Institute for Communication Technologies and Embedded Systems RWTH Aachen University Aachen52056 Germany

ISBN: (纸本)9781450348775

In this paper, we present a novel approach that assists in the task of data-parallel pattern recognition. the classification of program code into parallel patterns relies mainly in the extraction of characteristics that describe memory access operations. Our tool automatically generates static decidable memory access characterizations using a Program Expression graph (PEG) representation of input programs. We analyze the main properties of PEGs that favor the corresponding extraction algorithm in comparison to other input representations. Additionally, we demonstrate the effectiveness of our proposed method using the PolyBench kernels for the recognition of the data-parallel patterns that drive the Bones skeleton-based parallellizing compiler, targeting as case study modern embedded platforms (i.e. Keystone II and Parallella Board). © 2017 ACM.

关键词： Extraction

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Outlier detection using classifier instability 7th

引用

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： Tax, David M. J. Duin, Robert P. W. Pattern Recognition Group Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands

ISBN: (纸本)3540648585

When a classifier is used to classify objects, it is important to know if these objects resemble the training objects the classifier is trained with. Several methods to detect novel objects exist. In this paper a new method is presented which is based on the instability of the output of simple classifiers on new objects. the performances of the outlier detection methods is shown in a handwritten digit recognition problem. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Object detection

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