Machine Interpretation of Line Drawings

Machine Interpretation of Line Drawings
Author :
Publisher : MIT Press (MA)
Total Pages : 256
Release :
ISBN-10 : UCAL:B4388424
ISBN-13 :
Rating : 4/5 (24 Downloads)

Book Synopsis Machine Interpretation of Line Drawings by : Kōkichi Sugihara

Download or read book Machine Interpretation of Line Drawings written by Kōkichi Sugihara and published by MIT Press (MA). This book was released on 1986 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Sugihara's mechanism has several potential applications. It can facilitate man-machine communication by extracting object structures automatically from pictures drawn by a designer, which can be particularly useful in the computer-aided design of geometric objects, such as mechanical parts and buildings. It can also be used in the intermediate stage of computer vision systems used to obtain and analyze images in the outside world. The computational mechanism itself is not accompanied by a large database but is composed of several simple procedures based on linear algebra and combinatorial theory. Contents:Introduction. Candidates for Spatial Interpretation. Discrimination between Correct and Incorrect Pictures. Correctness of HiddenPart-Drawn Pictures. Algebraic Structures of Line Drawings. Combinatorial Structures of Line Drawings. Overcoming Superstrictness. Algorithmic Aspects of Generic Reconstructibility. Specification of Unique Shapes. Recovery of Shape from Surface Information. Polyhedrons and Rigidity. Kokichi Sugihara is Professor in the Department of Mathematical Engineering and instrumentation Physics, Faculty of Engineering, the University of Tokyo, Tokyo, Japan. Machine interpretation of Line Drawingsis included in The MIT Press Series in Artificial Intelligence, edited by Patrick Henry Winston and Michael Brady.


Machine Interpretation of Line Drawings Related Books

Machine Interpretation of Line Drawings
Language: en
Pages: 256
Authors: Kōkichi Sugihara
Categories: Computers
Type: BOOK - Published: 1986 - Publisher: MIT Press (MA)

DOWNLOAD EBOOK

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 pr
Machine Interpretation of Line Drawing Images
Language: en
Pages: 289
Authors: Sergey Ablameyko
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Line drawing interpretation is a challenging area with enormous practical potential. At present, many companies throughout the world invest large amounts of mon
Line Drawing Interpretation
Language: en
Pages: 254
Authors: Martin Cooper
Categories: Computers
Type: BOOK - Published: 2010-06-07 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Based on the author’s considerable research, this book contains state-of-the-art reviews of work in drawing interpretation and discrete optimization. It cover
Pattern Recognition and Machine Learning
Language: en
Pages: 428
Authors: Y. Anzai
Categories: Computers
Type: BOOK - Published: 1992-07-14 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Recognition and learning by a computer. Representing information. Generation and transformation of representations. Pattern feature extraction. Pattern understa
Machine Understanding
Language: en
Pages: 229
Authors: Zbigniew Les
Categories: Technology & Engineering
Type: BOOK - Published: 2019-08-01 - Publisher: Springer

DOWNLOAD EBOOK

This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding