Multi-Image Analysis : 10th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, March 12-17, 2000 Revised Papers / edited by Reinhard Klette, Thomas Huang, Georgy Gimel'farb.

Format:

Book

Contributor:

Klette, Reinhard, editor.

Huang, Thomas (Technologist), editor.

Gimel'farb, Georgy, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 2032.

Lecture Notes in Computer Science, 0302-9743 ; 2032

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 (VIII, 296 pages).

Edition:

First edition 2001.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at Dagstuhl Castle, Germany, in March 2000. The 20 revised full papers presented have been through two rounds of reviewing, selection, and revision and give a representative assessment of the foundational issues in multiple-image processing. The papers are organized in topical sections on 3D data acquisition and sensor design, multi-image analysis, data fusion in 3D scene description, and applied 3D vision and virtual reality.

Contents:

3D Data Acquisition and Sensor Design

Modelling and Removing Radial and Tangential Distortions in Spherical Lenses

Geometry of Eye Design: Biology and Technology

Epipolar Geometry in Polycentric Panoramas

Image-Based Rendering from Uncalibrated Lightfields with Scalable Geometry

Recent Progress in Digital Photogrammetric Stereo Cameras and Data Evaluation

Classification and Characterization of Image Acquisition for 3D Scene Visualization and Reconstruction Applications

Multi-Image Analysis

Structure Multivector for Local Analysis of Images

Matching Multiple Views by the Least Square Correlation

Gabor Wavelet Networks for Object Representation

Multi-valued Images and Their Separation

Towards Segmentation from Multiple Cues: Symmetry and Color

Pose Estimation Using Geometric Constraints

Data Fusion in 3D Scene Description

The Fusion of Image and Range Flow

Knowledge-Based Concepts for the Fusion of Multisensor and Multitemporal Aerial Images

Ellipsoidal Bias in Learning Appearance-Based Recognition Functions

Scene Change Detection Based on Audio-Visual Analysis and Interaction

Applied 3D Vision and Virtual Reality

Implicit 3D Approach to Image Generation: Object-Based Visual Effects by Linear Processing of Multiple Differently Focused Images

Content-Based Image Retrieval Using Regional Representation

Integration of Photometric Stereo and Shape from Occluding Contours by Fusing Orientation and Depth Data

Visual Sign Language Recognition.

Other Format:

Printed edition:

ISBN:

978-3-540-45134-1

9783540451341

Access Restriction:

Restricted for use by site license.