Multi-Image Analysis: 10th International Workshop on Theoretical Foundations of Computer Vision Dagstuhl Castle, Germany, March 12-17, 2000 Revised Papers: Lecture Notes in Computer Science, cartea 2032
Editat de Reinhard Klette, Thomas Huang, Georgy Gimel'farben Limba Engleză Paperback – 2 mai 2001
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.
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Specificații
ISBN-13: 9783540421221
ISBN-10: 354042122X
Pagini: 304
Ilustrații: VIII, 296 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.71 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 354042122X
Pagini: 304
Ilustrații: VIII, 296 p.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.71 kg
Ediția:2001
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Caracteristici
Includes supplementary material: sn.pub/extras