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Author: Kōkichi Sugihara
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 256
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Book 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. 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.
Author: Martin Cooper
Publisher: Springer Science & Business Media
ISBN: 1848002297
Category : Computers
Languages : en
Pages : 254
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Book Description
Based on the author’s considerable research, this book contains state-of-the-art reviews of work in drawing interpretation and discrete optimization. It covers both drawings of polyhedral objects as well as complex curved objects.
Author: Sergey Ablameyko
Publisher: Springer Science & Business Media
ISBN: 1447107896
Category : Computers
Languages : en
Pages : 289
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Book Description
Line drawing interpretation is a challenging area with enormous practical potential. At present, many companies throughout the world invest large amounts of money and human resource in the input of paper drawings into computers. The technology needed to produce an image of a drawing is widely available, but the transformation of these images into more useful forms is an active field of research and development. Machine Interpretation of Line Drawing Images - describes the theory and practice underlying the computer interpretation of line drawing images and - shows how line drawing interpretation systems can be developed. The authors show how many of the problems can be tackled and provide a thorough overview of the processes underpinning the interpretation of images of line drawings.
Author: Kōkichi Sugihara
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 256
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Book 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. 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.
Author: Gilbert Falk
Publisher:
ISBN:
Category : Computer graphics
Languages : en
Pages : 406
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Book Description
The paper describes a heuristic scence description program. This program accepts as input a scene represented as a line drawing. Based on a set of known object models the program attempts to determine the identify and location of each object viewed. The most significant feature of the program is its ability to deal with imperfect input data. Also presented are some preliminary results concerning constraints in projections of planar-faced solids. It is shown that for a restricted class of projections, 4 points located in 3-space in addition to complete monocular information are sufficient to specify all the visible point locations precisely. (Author).
Author: Brent Eviston
Publisher: Rocky Nook, Inc.
ISBN: 1681987775
Category : Art
Languages : en
Pages : 484
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Book Description
Drawing is not a talent, it's a skill anyone can learn. This is the philosophy of drawing instructor Brent Eviston based on his more than twenty years of teaching. He has tested numerous types of drawing instruction from centuries old classical techniques to contemporary practices and designed an approach that combines tried and true techniques with innovative methods of his own. Now, he shares his secrets with this book that provides the most accessible, streamlined, and effective methods for learning to draw. Taking the reader through the entire process, beginning with the most basic skills to more advanced such as volumetric drawing, shading, and figure sketching, this book contains numerous projects and guidance on what and how to practice. It also features instructional images and diagrams as well as finished drawings. With this book and a dedication to practice, anyone can learn to draw!
Author: Sergey Ablameyko
Publisher: SPIE Press
ISBN: 9780819423801
Category : Art
Languages : en
Pages : 186
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Book Description
The image analysis community has put much effort into developing systems for the automatic reading of various types of documents containing text, graphic information, and pictures. A closely related but much more problematic task is the reading and interpretation of line drawings such as maps, engineering drawings, and diagrams. This book considers the problem in detail, analyzes its theoretical foundations, and analyzes existing approaches and systems.
Author: Ric Costin
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 624
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Book Description
Author: Wesley E. Snyder
Publisher: Cambridge University Press
ISBN: 1139489925
Category : Computers
Languages : en
Pages : 452
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Book Description
This 2004 book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.
Author: Marcello Pelillo
Publisher: Springer Science & Business Media
ISBN: 9783540629092
Category : Computers
Languages : en
Pages : 568
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Book Description
This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997. The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.
