Download or read book Line Drawing Interpretation written by Martin Cooper and published by Springer Science & Business Media. This book was released on 2010-06-07 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Interpretation of Line Drawing Images written by Sergey Ablameyko and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Download or read book Reasoning about Depth in Line drawing Interpretation written by Stephen William Draper and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reasoning about Depth in Line drawing Interpretation written by and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hand Line Drawing Interpretation as Three dimensional Objects written by Enric Martí Godia and published by . This book was released on 1993 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Art and Science of Drawing written by Brent Eviston and published by Rocky Nook, Inc.. This book was released on 2021-05-28 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Computational Theory of Line Drawing Interpretation written by and published by . This book was released on 1981 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Edge Detection and Line drawing Interpretation written by Vishvjit S. Nalwa and published by . This book was released on 1987 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Interpretation of Line Drawing Images written by Sergey Ablameyko and published by . This book was released on 2000-08-17 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Basic Blueprint Reading written by Ric Costin and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Theory of Line Drawing Interpretation written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-08-14 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recovery of the three dimensional structure of visible surfaces depicted in an image by emphasizing the role of geometric cues present in line drawings, was studied. Three key components are line classification, line interpretation, and surface interpolation. A model for three dimensional line interpretation and surface orientation was refined and a theory for the recovery of surface shape from surface marking geometry was developed. A new approach to the classification of edges was developed and implemented signatures were deduced for each of several edge types, expressed in terms of correlational properties of the image intensities in the vicinity of the edge. A computer program was developed that evaluates image edges as compared with these prototype signatures. Witkin, A. P. Unspecified Center NASA-CR-165804 NAS1-16282...

Download or read book Pattern Recognition and Machine Learning written by Y. Anzai and published by Elsevier. This book was released on 2012-12-02 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

Download or read book Three Dimensional Computer Vision written by Yoshiaki Shirai and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 extraction of meaningful symbols from visual information and symbol processing for determining what the symbols represent. The term "3D computer vision" is used if visual information has to be interpreted as three-dimensional scenes. 3D computer vision is more challenging because objects are seen from limited directions and some objects are occluded by others. In 1980, the author wrote a book "Computer Vision" in Japanese to introduce an interesting new approach to visual information processing developed so far. Since then computer vision has made remarkable progress: various rangefinders have become available, new methods have been developed to obtain 3D informa tion, knowledge representation frameworks have been proposed, geometric models which were developed in CAD/CAM have been used for computer vision, and so on. The progress in computer vision technology has made it possible to understand more complex 3 D scenes. There is an increasing demand for 3D computer vision. In factories, for example, automatic assembly and inspection can be realized with fewer con straints than conventional ones which employ two-dimensional computer vision.

Download or read book The Potential of Deep Seismic Profiling for Hydrocarbon Exploration written by Bertrand Pinet and published by Editions TECHNIP. This book was released on 1990 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Cognitive Information Processing written by Ikuo Tahara and published by IOS Press. This book was released on 1994 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores advances in information processing by describing a number of research approaches in symbolic computationalism and neural networks.

Download or read book Machine Understanding written by Zbigniew Les and published by Springer. This book was released on 2019-08-01 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors’ previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.