http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
6th European Conference on Computer Vision Dublin, Ireland, June 26 - July 1, 2000, Proceedings, Part II
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.
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 Rôle 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.