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检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

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On representing edge structure for model matching

On representing edge structure for model matching

引用

conference on computer vision and pattern recognition (cvpr)

作者： T.F. Cootes C.J. Taylor Department Imaging Science and Biomedical Engineering University of Manchester Institute of Science and Technology Manchester UK

ISBN: (纸本)0769512720

We show how a novel, non-linear representation of edge structure can be used to improve the performance of model matching algorithms and object verification/recognition tasks. Rather than represent the image structure using intensity values or gradients, we use a measure which indicates the orientation of structures at each pixel, together with an indication of how reliable the orientation estimate is. Orientations in flat, noisy regions tend to be penalised whereas those near strong edges are favoured. We demonstrate that this representation leads to more accurate and reliable matching between models and new images, and leads to better recognition/verification of faces in an access control task.

关键词： Pixel Active appearance model Face recognition Image recognition Vectors Biomedical imaging Biomedical engineering Access control Buildings Brightness

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Unsupervised face recognition from image sequences based on clustering with attraction and repulsion

Unsupervised face recognition from image sequences based on ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： B. Raytchev H. Murase NTT Communication Science Laboratories Atsugi Kanagawa Japan

ISBN: (纸本)0769512720

We propose a new method for unsupervised face recognition from time-varying sequences of face images obtained in real-world environments. Two types of forces, attraction and repulsion, operate across the spatio-temporal facial manifolds, to autonomously organize the data without relying on any category-specific information provided in advance. Experiments with real-world data gathered over a period of several months and including both frontal and side-view faces were used to evaluate the method and encouraging results were obtained The proposed method can be used in video surveillance systems or for content-based information retrieval.

关键词： Face recognition Image sequences Humans Biology computing Video surveillance Information retrieval Content based retrieval Unsupervised learning Supervised learning Lighting

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Morphological color quantization

Morphological color quantization

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conference on computer vision and pattern recognition (cvpr)

作者： S. Gibson R. Harvey School of Information Systems University of East Anglia Norwich UK

ISBN: (纸本)0769512720

Color histograms are a central feature in many image retrieval systems. Indeed they are part of the MPEG-7 standard. But histograms suffer from the "curse of dimensionality " in which the number of bins increases exponentially with the number of dimensions. There is therefore an imperative for methods for simplifying histograms. This paper presents a new method for simplifying histograms based on a cascade of increasing-scale graph morphology filters. The system we choose preserves scale space causality and so preserves the modes of the histogram. The method is quick to compute so is therefore a practically useful feature. We present results using the MPEG-7 Common Color Dataset that show that these new compressed features have a retrieval performance that is equivalent to full histograms.

关键词： Quantization Histograms Image retrieval MPEG 7 Standard Information retrieval Image coding Information systems Morphology computer vision Application software

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Extended performance graphs for cluster retrieval

Extended performance graphs for cluster retrieval

引用

conference on computer vision and pattern recognition (cvpr)

作者： D.P. Huijsmans N. Sebe Leiden Institute of Advanced Computer Science Leiden University Leiden Netherlands

ISBN: (纸本)0769512720

Performance evaluations in probabilistic information retrieval are often presented as precision-recall or precision-scope graphs avoiding the otherwise dominating effect of the embedding irrelevant fraction. However, precision and recall values as such offer an incomplete overview of the information retrieval system under study: information about system parameters like generality (the embedding of the relevant fraction), random performance, and the effect of varying the scope is missed In this paper two cluster performance graphs are presented In those cases where complete ground truth is available (both cluster size and database size) the cluster precision-recall (Cluster PR) graph and the generality-precision=recall graph are proposed.

关键词： Information retrieval Image retrieval Content based retrieval computer science Image databases Audio databases Books NIST Area measurement Performance analysis

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A spherical eye from multiple cameras (makes better models of the world)

A spherical eye from multiple cameras (makes better models o...

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conference on computer vision and pattern recognition (cvpr)

作者： P. Baker C. Fermuller Y. Aloimonos R. Pless Computer Vision Laboratory University of Maryland College Park MD USA Department of Computer Science Washington University Saint Louis MO USA

ISBN: (纸本)0769512720

The paper describes an imaging system that has been designed specifically for the purpose of recovering egomotion and structure from video. The system consists of six cameras in a network arranged so that they sample different parts of the visual sphere. This geometric configuration has provable advantages compared to small field of view cameras for the estimation of the system's own motion and consequently the estimation of shape models from the individual cameras. The reason is that inherent ambiguities of confusion between translation and rotation disappear. We provide algorithms for the calibration of the system and 3D motion estimation. The calibration is based on a new geometric constraint that relates the images of lines parallel in space to the rotation between the cameras. The 3D motion estimation uses a constraint relating structure directly to image gradients.

关键词： Cameras Motion estimation Shape Layout Calibration Space technology Robot vision systems Pixel computer vision Laboratories

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Multispectral skin color modeling

Multispectral skin color modeling

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conference on computer vision and pattern recognition (cvpr)

作者： E. Angelopoulo R. Molana K. Daniilidis Dept. of Comput. Sci. Stevens Inst. of Technol. Hoboken NJ USA Computer and Information Science Department University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)0769512720

The automated detection of humans in computer vision as well as the realistic rendering of people in computer graphics necessitates improved modeling of the human skin color. We describe the acquisition and modeling of skin reflectance data densely sampled over the entire visible spectrum. The data collected through a spectrograph allows us to explain skin color (and its variations) and to discriminate between human skin and dyes designed to mimic human skin. We study the approximation of these data using several sets of basis functions. Our study shows that skin reflectance data can best be approximated by a linear combination of Gaussians or their first derivatives. This result has a significant practical impact on optical acquisition devices: the entire visible spectrum of skin reflectance can now be captured with a few filters of optimally chosen central wavelengths and bandwidth.

关键词： Skin Humans Reflectivity Optical devices Optical filters computer vision Rendering (computer graphics) computer graphics Linear approximation Gaussian approximation

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The 3D line motion matrix and alignment of line reconstructions

The 3D line motion matrix and alignment of line reconstructi...

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conference on computer vision and pattern recognition (cvpr)

作者： A. Bartoli P. Sturm INRIA Rhone-Alpes Ismier France

ISBN: (纸本)0769512720

We study the problem of aligning two 3D line reconstructions expressed in Plucker line coordinates. We introduce the 6/spl times/6 3D line motion matrix that acts on Plucker coordinates in projective, affine or Euclidean space. We characterize its algebraic properties and its relation to the usual 4/spl times/4 point motion matrix, and propose various methods for estimating 3D motion from line correspondences, based on image-related and 3D cost functions. We assess the quality of the different estimation methods using simulated data and real images.

关键词： Image reconstruction Motion estimation Cameras Tracking Cost function Computational modeling computer vision Image segmentation Visual servoing Motion detection

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Time-varying shape tensors for scenes with multiply moving points

Time-varying shape tensors for scenes with multiply moving p...

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conference on computer vision and pattern recognition (cvpr)

作者： A. Levin L. Wolf A. Shashua School of Computer Science and Engineering Hebrew University Jerusalem Israel CS Department University of Stanford USA

ISBN: (纸本)0769512720

We derive single view indexing functions for dynamic scenes - where dynamic is defined as a scene consisting of multiply moving points each moving independently with constant velocity. The indexing functions we derive are view independent and form a generalization of the "shape tensors" associated with rigid scenes by introducing a time-varying parameter We derive those indexing functions under full 3D projective, 3D affine, and various reduced configurations. The indexing functions were implemented and tested for matching against objects for which their non-rigid motion is an intrinsic part of their character - human gait recognition and hand gesture identification are the two chosen application examples.

关键词： Tensile stress Layout Indexing Humans Testing Cameras Shape measurement Legged locomotion computer science Motion analysis

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Learning representative local features for face detection

Learning representative local features for face detection

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conference on computer vision and pattern recognition (cvpr)

作者： Xiangrong Chen Lie Gu S.Z. Li Hong-Jiang Zhang Microsoft Research China Beijing China

ISBN: (纸本)0769512720

This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are learnt from the training set instead of arbitrarily defined. The learning procedure consists of two steps. First, a modified version of NMF (non-negative matrix factorization), namely local NMF (LNMF), is applied to obtain an overcomplete set of local features. Second, a learning algorithm based on AdaBoost is used to select a small number of local features and yields extremely efficient classifiers. Experiments are presented which show that face detection performance is comparable to state-of-the-art face detection systems.

关键词： computer vision Face detection Detectors Psychology Shape Probability Nose Multilayer perceptrons Neural networks Multi-layer neural network

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Constructing facial identity surfaces in a nonlinear discriminating space

Constructing facial identity surfaces in a nonlinear discrim...

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conference on computer vision and pattern recognition (cvpr)

作者： Yongmin Li Shaogang Gong H. Liddell Department of Computer Science Queen''s Mary University of London London UK

ISBN: (纸本)0769512720

Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, self-shading and self-occlusion. To address this problem, a multi-view dynamic face model is designed to extract the shape-and-pose-free facial texture patterns from multi-view face images. Kernel Discriminant Analysis is developed to extract the significant non-linear discriminating features which maximise the between-class variance and minimise the within-class variance. By using the kernel technique, this process is equivalent to a Linear Discriminant Analysis in a high-dimensional feature space which can be solved conveniently. The identity surfaces are then constructed from these non-linear discriminating features. Face recognition can be performed dynamically from an image sequence by matching an object trajectory and model trajectories on the identity surfaces.

关键词： Face recognition Face detection Kernel Linear discriminant analysis Principal component analysis Facial animation Analysis of variance computer vision Active shape model Active appearance model

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