Logo

Machine Interpretation of Line Drawings

Small book cover: Machine Interpretation of Line Drawings

Machine Interpretation of Line Drawings
by

Publisher: The MIT Press
ISBN/ASIN: 0262192543
ISBN-13: 9780262192545
Number of pages: 236

Description:
This book solves a long-standing problem in computer vision, the interpretation of line drawings and, in doing so answers many of the concerns raised by this problem, particularly with regard to errors in the placement of lines and vertices in the images. Sugihara presents a computational mechanism that functionally mimics human perception in being able to generate three-dimensional descriptions of objects from two-dimensional line drawings. The objects considered are polyhedrons or solid objects bounded by planar faces, and the line drawings are single-view pictures of these objects.

Download or read it online for free here:
Download link
(3.7MB, PDF)

Similar books

Book cover: Scene Reconstruction Pose Estimation and TrackingScene Reconstruction Pose Estimation and Tracking
by - InTech
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The areas of low level vision such as segmentation, edge detection, and region identification, are the focus of this book.
(10514 views)
Book cover: Machine VisionMachine Vision
by - McGraw-Hill
The book is intended to provide a balanced introduction to machine vision. Basic concepts are introduced with only essential mathematical elements. The details to allow implementation and use of vision algorithm in practical application are provided.
(18112 views)
Book cover: Stereo VisionStereo Vision
by - InTech
The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision.
(13899 views)
Book cover: Pattern RecognitionPattern Recognition
by - IN-TECH
The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms.
(14266 views)