Computer Vision - ECCV 2000 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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2000.
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Έκδοση: | 1st ed. 2000. |
Σειρά: | Lecture Notes in Computer Science,
1843 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.