Computer vision - ECCV 2000 : 6th European Conference on Computer Vision, Dublin, Ireland, June 26-July 1, 2000 : proceedings
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書誌事項
Computer vision - ECCV 2000 : 6th European Conference on Computer Vision, Dublin, Ireland, June 26-July 1, 2000 : proceedings
（Lecture notes in computer science, 1842-1843）
Springer, c2000
- Part 1
- Part 2
大学図書館所蔵 件 / 全43件
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V.1842007.6/L507/v.184205465427,
V.1843007.6/L507/v.184305465436, Part 1007.6/L507/v.184205465427 -
Part 100018114454,
Part 200018114660, 1004/L4700018114454, 2004/L4700018114660 -
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注記
Includes bibliographical references and index
内容説明・目次
- 巻冊次
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Part 1 ISBN 9783540676850
内容説明
Ten years ago, the inaugural European Conference on Computer Vision was held in Antibes, France. Since then, ECCV has been held biennially under the auspices of the European Vision Society at venues around Europe. This year, the privilege of organizing ECCV 2000 falls to Ireland and it is a signal honour for us to host what has become one of the most important events in the calendar of the computer vision community. ECCV is a single-track conference comprising the highest quality, previously unpublished, contributed papers on new and original research in computer vision. This year, 266 papers were submitted and, following a rigorous double-blind review process, with each paper being reviewed by three referees, 116 papers were selected by the Programme Committee for presentation at the conference. The venue for ECCV 2000 is the University of Dublin, Trinity College. - unded in 1592, it is Ireland's oldest university and has a proud tradition of scholarship in the Arts, Humanities, and Sciences, alike. The Trinity campus, set in the heart of Dublin, is an oasis of tranquility and its beautiful squares, elegant buildings, and tree-lined playing- elds provide the perfect setting for any conference.
目次
Recognition & Modelling I.- Non-linear Bayesian Image Modelling.- Unsupervised Learning of Models for Recognition.- Learning over Multiple Temporal Scales in Image Databases.- Colour Image Retrieval and Object Recognition Using the Multimodal Neighbourhood Signature.- Stereoscopic Vision.- Approximate N-View Stereo.- A Minimal Set of Constraints for the Trifocal Tensor.- Intrinsic Images for Dense Stereo Matching with Occlusions.- Recognition & Modelling / Stereoscopic Vision / Texture, Shading, & Colour.- Local Scale Selection for Gaussian Based Description Techniques.- Anti-Faces for Detection.- Combining Elastic and Statistical Models of Appearance Variation.- Object Recognition Using Coloured Receptive Fields.- Learning Similarity for Texture Image Retrieval.- Parametric View-Synthesis.- Least Committment Graph Matching by Evolutionary Optimisation.- Predicting Disparity Windows for Real-Time Stereo.- On the Estimation of the Fundamental Matrix: A Convex Approach to Constrained Least-Squares.- Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space.- Model Based Pose Estimator Using Linear-Programming.- Measuring the Self-Consistency of Stereo Algorithms.- Log-Polar Stereo for Anthropomorphic Robots.- Contour-Based Correspondence for Stereo.- Color and Scale: The Spatial Structure of Color Images.- Constrained Dichromatic Colour Constancy.- Objective Colour from Multispectral Imaging.- Colour by Correlation in a Three-Dimensional Colour Space.- Improvements to Gamut Mapping Colour Constancy Algorithms.- Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns.- Adapting Spectral Scale for Shape from Texture.- Recognition & Modelling II.- Learning to Recognize 3D Objects with SNoW.- Region-Based Object Recognition Using Shape-from-Shading.- Recognizing Walking People.- A Probabilistic Sensor for the Perception and the Recognition of Activities.- Structure from Motion I.- Homography Tensors: On Algebraic Entities That Represent Three Views of Static or Moving Planar Points.- Plane + Parallax, Tensors and Factorization.- Factorization with Uncertainty.- Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications.- Shape.- Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals.- Level Sets and Distance Functions.- Divergence-Based Medial Surfaces.- Structure from Motion / Shape / Image Features.- 3D Reconstruction from Tangent-of-Sight Measurements of a Moving Object Seen from a Moving Camera.- A Six Point Solution for Structure and Motion.- Reconstruction from Uncalibrated Sequences with a Hierarchy of Trifocal Tensors.- Characterizing Depth Distortion Due to Calibration Uncertainty.- On Calibration and Reconstruction from Planar Curves.- How Does CONDENSATION Behave with a Finite Number of Samples?.- On the Structure and Properties of the Quadrifocal Tensor.- Geotensity Constraint for 3D Surface Reconstruction under Multiple Light Sources.- Noise-Resistant Affine Skeletons of Planar Curves.- Shape and Radiance Estimation from the Information Divergence of Blurred Images.- Surface Matching with Large Deformations and Arbitrary Topology: A Geodesic Distance Evolution Scheme on a 3-Manifold.- Duals, Invariants, and the Recognition of Smooth Objects from Their Occluding Contour.- On Utilising Template and Feature-based Correspondence in Multi-view Appearance Models.- Wide Baseline Point Matching Using Affine Invariants Computed from Intensity Profiles.- Determining Correspondences for Statistical Models of Appearance.- Approximation and Processing of Intensity Images with Discontinuity-Preserving Adaptive Triangular Meshes.- Scale Dependent Differential Geometry for the Measurement of Center Line and Diameter in 3D Curvilinear Structures.- Fast Selective Detection of Rotational Symmetries Using Normalized Inhibition.- Structure from Motion II.- Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects.- Integrating Local Affine into Global Projective Images in the Joint Image Space.- Ambiguous Configurations for 3-View Projective Reconstruction.- On the Reprojection of 3D and 2D Scenes without Explicit Model Selection.
- 巻冊次
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Part 2 ISBN 9783540676867
内容説明
The two-volume set LNCS 1842/1843 constitutes the refereed proceedings of the 6th European Conference on Computer Vision, ECCV 2000, held in Dublin, Ireland in June/July 2000. The 116 revised full papers presented were carefully selected from a total of 266 submissions. The two volumes offer topical sections on recognitions and modelling; stereoscopic vision; texture and shading; shape; structure from motion; image features; active, real-time, and robot vision; segmentation and grouping; vision systems engineering and evaluation; calibration; medical image understanding; and visual motion.
目次
Recognition & Modelling I.- Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking.- Real-Time Tracking of Multiple Articulated Structures in Multiple Views.- Pedestrian Detection from a Moving Vehicle.- Vision-Based Guidance and Control of Robots in Projective Space.- Stereoscopic Vision.- A General Method for Unsupervised Segmentation of Images Using a Multiscale Approach.- Image Segmentation by Nonparametric Clustering Based on the Kolmogorov-Smirnov Distance.- Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions.- Recognition & Modelling / Stereoscopic Vision / Texture, Shading, & Colour.- Bootstrap Initialization of Nonparametric Texture Models for Tracking.- Quasi-Random Sampling for Condensation.- Tracking Discontinuous Motion Using Bayesian Inference.- Direction Control for an Active Docking Behaviour Based on the Rotational Component of Log-Polar Optic Flow.- The Construction of 3 Dimensional Models Using an Active Computer Vision System.- Significantly Different Textures: A Computational Model of Pre-attentive Texture Segmentation.- Calibrating Parameters of Cost Functionals.- Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach.- Level Lines as Global Minimizers of Energy Functionals in Image Segmentation.- A Probabilistic Interpretation of the Saliency Network.- Layer Extraction with a Bayesian Model of Shapes.- Model-Based Initialisation for Segmentation.- Statistical Foreground Modelling for Object Localisation.- Nautical Scene Segmentation Using Variable Size Image Windows and Feature Space Reclustering.- A Probabilistic Background Model for Tracking.- On the Performance Characterisation of Image Segmentation Algorithms: A Case Study.- Statistical Significance as an Aid to System Performance Evaluation.- New Algorithms for Controlling Active Contours Shape and Topology.- Motion Segmentation by Tracking Edge Information over Multiple Frames.- Data-Driven Extraction of Curved Intersection Lanemarks from Road Traffic Image Sequences.- Tracking and Characterization of Highly Deformable Cloud Structures.- Calibration.- A Unifying Theory for Central Panoramic Systems and Practical Implications.- Binocular Self-Alignment and Calibration from Planar Scenes.- The Role of Self-Calibration in Euclidean Reconstruction from Two Rotating and Zooming Cameras.- Hand-Eye Calibration from Image Derivatives.- Medical Image Understanding.- Multimodal Elastic Matching of Brain Images.- A Physically-Based Statistical Deformable Model for Brain Image Analysis.- Minimal Paths in 3D Images and Application to Virtual Endoscopy.- Calibration / Medical Image Understanding / Visual Motion.- Kruppa Equation Revisited: Its Renormalization and Degeneracy.- Registration with a Moving Zoom Lens Camera for Augmented Reality Applications.- Calibration of a Moving Camera Using a Planar Pattern: Optimal Computation, Reliability Evaluation, and Stabilization by Model Selection.- Multi-view Constraints between Collineations: Application to Self-Calibration from Unknown Planar Structures.- Stereo Autocalibration from One Plane.- Can We Calibrate a Camera Using an Image of a Flat,Textureless Lambertian Surface?.- Underwater Camera Calibration.- On Weighting and Choosing Constraints for Optimally Reconstructing the Geometry of Image Triplets.- Computation of the Mid-Sagittal Plane in 3D Images of the Brain.- Stochastic Tracking of 3D Human Figures Using 2D Image Motion.- Monocular Perception of Biological Motion - Clutter and Partial Occlusion.- 3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation.- Non-parametric Model for Background Subtraction.- Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation.- Regularised Range Flow.- Visual Encoding of Tilt from Optic Flow: Psychophysics and Computational Modelling.- Visual Motion.- IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus.- Egomotion Estimation Using Quadruples of Collinear Image Points.- Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction.- Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion.
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