Computer Vision - ECCV 2000 : 6th European Conference on Computer Vision Dublin, Ireland, June 26 - July 1, 2000, Proceedings, Part II / edited by David Vernon.

Format:

Book

Contributor:

Vernon, David, 1958- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 1843.

Lecture Notes in Computer Science, 0302-9743 ; 1843

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Computer graphics.

Artificial intelligence.

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

Artificial Intelligence.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

Artificial Intelligence.

Physical Description:

1 online resource (XVIII, 881 pages).

Edition:

First edition 2000.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.

System Details:

text file PDF

Summary:

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.

Contents:

Recognition and 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 and Modelling / Stereoscopic Vision / Texture, Shading, and 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.

Other Format:

Printed edition:

ISBN:

978-3-540-45053-5

9783540450535

Access Restriction:

Restricted for use by site license.