Three-Dimensional Machine Vision
โ J. L. Mundy, G. B. Porter III (auth.), Takeo Kanade (eds.)
๐ Library
๐
1987
๐ Springer US
๐ English
โฆ LIBER โฆ
๐
Machine Vision for Three-Dimensional Scenes
โ Scribed by Herbert Freeman (Eds.)
- Publisher
- Academic Press
- Year
- 1990
- Tongue
- English
- Leaves
- 417
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter, Page iii
Copyright, Page iv
Preface, Pages vii-viii, Herbert Freeman
Contributors, Pages ix-xi
A Framework for 3D Recognition, Pages 1-24, Ruud M. Bolle, Andrea Califano
The Free-Form Surface Matching Problem, Pages 25-71, Paul J. Besl
Object Recognition by Constrained Search, Pages 73-107, W. Eric L. Grimson
The Use of Characteristic-View Classes for 3D Object Recognition, Pages 109-161, Ruye Wang, Herbert Freeman
Interpretation of 3D Medical Scenes, Pages 163-193, C. Smets, M. De Groof, J. Nuyts, D. Vandermeulen, P. Suetens, G. Marchal, A. Oosterlinck
3D Motion Estimation, Pages 195-218, T.S. Huang, A.N. Netravali
Project LESTRADE: The Design of a Trainable Machine Vision Inspection System, Pages 219-242, Herbert Freeman, George Hung, Richard Mammone, Joseph Wilder
Fast 3D Integrated Circuit Inspection, Pages 243-266, Arend van de Stadt, Albert Sicignano
Segmentation and Analysis of Multi-Sensor Images, Pages 267-299, J.K. Aggarwal
Occlusion-Free Sensor Placement Planning, Pages 301-339, Roger Y. Tsai, Kostantinos Tarabanis
The State of the Art in Real-Time Range Mapping โ A Panel Discussion, Pages 341-346, Joseph Wilder, J.K. Aggarwal, P. Besl, T. Kanade, A. Slotwinski, J. West
Generalized and Separable Sobel Operators, Pages 347-379, Per-Erik Danielsson, Olle Seger
A Fast Lightstripe Rangefinding System with Smart VLSI Sensor, Pages 381-397, Andrew Gruss, Takeo Kanade, L. Richard Carley
Machine Vision โ Does the Technology Satisfy the Marketplace? โ A Panel Discussion, Pages 399-409, Nello Zuech
Index, Pages 411-419
๐ SIMILAR VOLUMES
From Surfaces to Objects: Computer Visio
โ R. B. Fisher
๐ Library
๐
1989
๐ John Wiley & Sons Inc
๐ English
The field of computer vision is now opening up possibilities offered by analyzing surface data for object recognition and scene understanding. This volume, which highlights current research, demonstrates that surface information can greatly simplify the image understanding process. The study is as m
From Surfaces to Objects: Computer Visio
โ R. B. Fisher
๐ Library
๐
1989
๐ John Wiley & Sons Inc
๐ English
The field of computer vision is now opening up possibilities offered by analyzing surface data for object recognition and scene understanding. This volume, which highlights current research, demonstrates that surface information can greatly simplify the image understanding process. The study is as m
From Surfaces to Objects: Computer Visio
โ R. B. Fisher
๐ Library
๐
1989
๐ John Wiley & Sons Inc
๐ English
From Surface To Objects. Computer Vision
โ Fisher R.B.
๐ Library
๐ English
ะะทะดะฐัะตะปัััะฒะพ John Wiley, 1989, -360 pp.<div class="bb-sep"></div>Three dimensional scene analysis has reached a turning point. Though re- searchers have been investigating object recognition and scene understanding since the late 1960โs, a new excitement can be felt in the field. I attribute this to
Three-Dimensional Computer Vision
โ Yoshiaki Shirai (auth.)
๐ Library
๐
1987
๐ Springer-Verlag Berlin Heidelberg
๐ English
<p>The purpose of computer vision is to make computers capable of understanding environments from visual information. Computer vision has been an interesting theme in the field of artificial intelligence. It involves a variety of intelligent information processing: both pattern processing for extrac