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共 1776 条记录，以下是1691-1700 订阅

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Improved object recognition - the RoboCup 4-legged league

Improved object recognition - The RoboCup 4-legged league

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4th international conference on Intelligent data Engineering and Automated learning (IDEAL 2003)

作者： Estivill-Castro, V Lovell, N Griffith Univ Sch Comp & Informat Technol Brisbane Qld 4111 Australia

ISBN: (纸本)354040550X

the RoboCup competition has brought back to attention the classification of objects in a controlled illumination environment. We present a very fast classifier to achieve image segmentation. Our methods are based on the machine literature, but adapted to robots equipped with low cost image-capture equipment. We then present new fast methods for object recognition, based on also rapid methods for blob formation. We describe how to extract the skeleton of a polygon and we use this for object recognition.

关键词： Object recognition

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

ISBN: (纸本)9783540403029

the proceedings contain 112 papers. the special focus in this conference is on Audio and video-based biometric person authentication. the topics include: Robust face recognition in the presence of clutter;an image preprocessing algorithm for illumination invariant face recognition;quad phase minimum average correlation energy filters for reduced memory illumination tolerant face authentication;component-based face recognition with 3D morphable models;a comparative study of automatic face verification algorithms on the BANCA database;assessment of time dependency in face recognition;constraint shape model using edge constraint and gabor wavelet based search;expression-invariant 3D face recognition;automatic estimation of a priori speaker dependent thresholds in speaker verification;a bayesian network approach for combining pitch and reliable spectral envelope features for robust speaker verification;cluster-dependent feature transformation for telephone-based speaker verification;LUT-Based adaboost for gender classification;independent component analysis and support vector machine for face feature extraction;real-time emotion recognition using biologically inspired models;a dual-factor authentication system featuring speaker verification and token technology;wavelet-based 2-parameter regularized discriminant analysis for face recognition;face tracking and recognition from stereo sequence;face recognition system using accurate and rapid estimation of facial position and scale;fingerprint enhancement using oriented diffusion filter;fusion of statistical and structural fingerprint classifiers;learning features for fingerprint classification;fingerprint matching with registration pattern inspection and biometric template selection.

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pattern recognition in classification of intelligent composites during smart manufacturing

Pattern recognition in classification of intelligent composi...

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4th international conference on Intelligent data Engineering and Automated learning (IDEAL 2003)

作者： Esmaili, N Talaie, A Univ New S Wales Dept Artificial Intelligence Sydney NSW Australia Osaka City Univ Dept Intelligent Mat Engn Osaka 558 Japan

ISBN: (纸本)354040550X

the development of an on line computer based classification system for the real time classification of different composites is addressed in this study. Different parameters were collected simultaneously when embedded sensors (dielectric, optical fibre, and piezoelectric sensors) were used within two different composite matrices during the curing process. the measurements were used by an algorithm-based software as a logged data file, resulting in to induction of a decision tree. Later, a systematic software is designed based on the rules derived from this decision tree, to recognise the type of composites used in the experiment together with recognition of their physical and mechanical characteristics. this is a new approach to data acquisition in intelligent materials produced by smart manufacturing system.

关键词： computer modelling process controls smart composites smart manufacturing

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4th international Workshop on Energy Minimization Methods in Computer Vision and pattern recognition, EMMCVPR 2003

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4th international Workshop on Energy Minimization Methods in Computer Vision and pattern recognition, EMMCVPR 2003

ISBN: (纸本)3540404988

the proceedings contain 39 papers. the special focus in this conference is on Unsupervised learning, Matching, Probabilistic Modelling, Segmentation, Grouping, Shape Modelling and Reconstruction. the topics include: Stochastic search for optimal linear representations of images on spaces with orthogonality constraints;curve matching using the fast marching method;EM algorithm for clustering an ensemble of graphs with comb matching;information force clustering using directed trees;active sampling strategies for multihypothesis testing;likelihood based hierarchical clustering and network topology identification;learning mixtures of tree-unions by minimizing description length;hierarchical annealing for random image synthesis;semi-supervised image segmentation by parametric distributional clustering;path variation and image segmentation;a fast snake segmentation method applied to histopathological sections;a compositionality architecture for perceptual feature grouping;using prior shape and points in medical image segmentation;separating a texture from an arbitrary background using pair wise grey level cooccurrences;surface recovery from 3D point data using a combined parametric and geometric flow approach;curvature vector flow to assure convergent deformable models for shape modelling;a MAP estimation algorithm using IIR recursive filters;estimation of rank deficient matrices from partial observations;contextual and non-combinatorial approach to feature extraction;generalized multi-camera scene reconstruction using graph cuts and graph matching using spectral seriation.

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4th IAPR international Workshop on Graph Based Representations in pattern recognition, GbRPR 2003

4th IAPR International Workshop on Graph Based Representatio...

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4th IAPR international Workshop on Graph Based Representations in pattern recognition, GbRPR 2003

ISBN: (纸本)354040452X

the proceedings contain 23 papers. the special focus in this conference is on data Structures and Representation. the topics include: Construction of combinatorial pyramids;on graphs with unique node labels;maximal independent directed edge set;functional modeling of structured images;building of symbolic hierarchical graphs for feature extraction;comparison and convergence of two topological models for 3D image segmentation;tree edit distance from information theory;self-organizing graph edit distance;graph edit distance with node splitting and merging, and its application to diatom identification;orthonormal kernel kronecker product graph matching;theoretical analysis and experimental comparison of graph matching algorithms for database filtering;a comparison of three maximum common subgraph algorithms on a large database of labeled graphs;swap strategies for graph matching;graph matching using spectral seriation and string edit distance;graph polynomials, principal pivoting, and maximum independent sets;graph partition for matching;spectral clustering of graphs;comparison of distance measures for graph-based clustering of documents;some experiments on clustering a set of strings;a new median graph algorithm;graph clustering using the weighted minimum common supergraph;ACM attributed graph clustering for learning classes of images and a competitive winner-takes-all architecture for classification and pattern recognition of structures.

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4th international Workshop on Multiple Classifier Systems, MCS 2003

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4th international Workshop on Multiple Classifier Systems, MCS 2003

ISBN: (纸本)3540403698

the proceedings contain 40 papers. the special focus in this conference is on Boosting and Combination Rules. the topics include: data dependence in combining classifiers;boosting with averaged weight vectors;error bounds for aggressive and conservative adaboost;an empirical comparison of three boosting algorithms on real data sets with artificial class noise;the beneficial effects of using multi-net systems that focus on hard patterns;the behavior knowledge space fusion method;reducing the overconfidence of base classifiers when combining their decisions;linear combiners for classifier fusion;comparison of classifier selection methods for improving committee performance;towards automated classifier combination for pattern recognition;serial multiple classifier systems exploiting a coarse to fine output coding;polychotomous classification with pairwise classifiers;multi-category classification by soft-max combination of binary classifiers;a sequential scheduling approach to combining multiple object classifiers using cross-entropy;binary classifier fusion based on the basic decomposition methods;good error correcting output codes for adaptive multiclass learning;finding natural clusters using multi-clusterer combiner based on shared nearest neighbors;the practical performance characteristics of tomographically filtered multiple classifier fusion;beam search extraction and forgetting strategies on shared ensembles;a markov chain approach to multiple classifier fusion;combining multiple modes of information using unsupervised neural classifiers;improving performance of a multiple classifier system using self-generating neural networks;negative correlation learning and the ambiguity family of ensemble methods;spectral coefficients and classifier correlation and ensemble construction via designed output distortion.

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Component-based face recognition with 3D morphable models

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4th international conference on Audio- and Video-Based Biometric Person Authentication

作者： Huang, J Heisele, B Blanz, V MIT Ctr Biol & Computat Learning Cambridge MA 02139 USA Honda Res Inst US Boston MA USA Max Planck Inst Comp Graph Grp Saarbrucken Germany

ISBN: (纸本)3540403027

We present a novel approach to pose and illumination invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. First, a 3D morphable model is used to generate 3D face models from three input images from each person in the training database. the 3D models are rendered under varying pose and illumination conditions to build a large set of synthetic images. these images axe then used to train a component-based face recognition system. the resulting system achieved 90% accuracy on a database of 1200 real images of six people and significantly outperformed a comparable global face recognition system. the results show the potential of the combination of morphable models and component-based recognition towards pose and illumination invariant face recognition based on only three training images of each subject.

关键词： Face recognition

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On a lip print recognition by the pattern kernel with multi-resolution architecture

On a lip print recognition by the pattern kernel with multi-...

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4th international conference on Intelligent data Engineering and Automated learning, IDEAL 2003

作者： Kim, Jin Ok Baik, Kyong Seok Chung, Chin Hyun School of Information and Communication Engineering Sungkyunkwan University 300 Chunchun-dong Jangan-gu SuwonKyunggi-do440-746 Korea Republic of Department of Information and Control Engineering Kwangwoon University 447-1 Wolgye-dong Nowon-gu Seoul139-701 Korea Republic of

ISBN: (纸本)354040550X

Biometric systems are forms of technology that use unique human physical characteristics to automatically identify a person. they have sensors to pick up some physical characteristics, convert them into digital patterns, and compare them with patterns stored for individual identification. However lip-print recognition has been less developed than recognition of other human physical attributes such as the fingerprint, voice patterns, retinal blood vessel patterns, or the face. the lip print recognition by a CCD camera has the merit of being linked with other recognition systems such as the retinal/iris eye and the face. A new method using multi-resolution architecture is proposed to recognize a lip print from the pattern kernels. A set of pattern kernels is a function of some local lip print masks. this function converts the information from a lip print into digital data. recognition in the multi-resolution system is more reliable than recognition in the single-resolution system. the multiresolution architecture allows us to reduce the false recognition rate from 15% to 4. 7%. this paper shows that a lip print is sufficiently used by the measurements of biometric systems. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Architecture

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Synthesis of high-resolution facial image based on top-down learning

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Hwang, Bon-Woo Park, Jeong-Seon Lee, Seong-Whan VirtualMedia Inc #1808 Seoul Venture Town Yoksam-dong Kangnam-gu Seoul135-080 Korea Republic of Center for Artificial Vision Research Korea University Anam-dong Seongbuk-ku Seoul136-701 Korea Republic of

ISBN: (纸本)9783540403029

this paper proposes a method of synthesizing a high-resolution facial image from a low-resolution facial image based on top-down learning. A face is represented by a linear combination of prototypes of shape and texture. With the shape and texture information about the pixels in an given low-resolution facial image, we can estimate optimal coefficients for a linear combination of prototypes of shape and those of texture by solving least square minimization. then high-resolution facial image can be synthesized by using the optimal coefficients for linear combination of the high-resolution prototypes. the encouraging results of the proposed method show that our method can be used to increase the performance of the face recognition by applying our method to enhance the low-resolution facial images captured at surveillance systems. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Face recognition

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Posed face image synthesis using nonlinear manifold learning

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4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Cho, Eunok Kim, Daijin Lee, Sang-Youn Department of Computer Science and Engineering Pohang University of Science and Technology Korea Telecom 17 Woomyeon-Dong Seocho-Gu Seoul137-792 Korea Republic of Multimedia Technology Laboratory Korea Telecom 17 Woomyeon-Dong Seocho-Gu Seoul137-792 Korea Republic of

ISBN: (纸本)9783540403029

this paper proposes to synthesize posed facial images from two parameters for the pose. this parameterization makes the representation, storage, and transmission of face images effective. Because variations of face images show a complicated nonlinear manifold in highdimensional data space, we use an LLE (Locally Linear Embedding) technique for a good representation of face images. And we apply a snake model to estimate face feature values in the reduced feature space that corresponds to a specific pose parameter. Finally, a synthetic face image is obtained from an interpolation of several neighboring face images. Experimental results show that the proposed method creates an accurate and consistent synthetic face images with respect to changes of pose. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Digital storage

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