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The Development Of Two Dimensional Object Identification Techniques
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Author :National Aeronautics and Space Administration (NASA) Publisher :Createspace Independent Publishing Platform ISBN 13 :9781722856342 Total Pages :42 pages Book Rating :4.8/5 (563 download)
Book Synopsis The Development of Two-Dimensional Object Identification Techniques by : National Aeronautics and Space Administration (NASA)
Download or read book The Development of Two-Dimensional Object Identification Techniques written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-07-13 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report marks the end of the first year of an anticipated three year effort to study methods for numerically identifying objects according to shape in two dimensions. The method is based upon comparing the unit gradient of an observed object and the unit gradient of a standard object over a specified range of points. The manner in which the gradients are compared forms the basis of a shape recognition scheme, which is then applied to simple closed plane figures. The gradient based method is calibrated by using various distorted objects in comparison with a set of standard reference objects. The use of pattern recognition techniques for computer identification of two-dimensional figures will be investigated during the second and third years of this project. Lebby, Gary and Sherrod, Earnest E. Unspecified Center NAG1-870...
Book Synopsis the development of two-dimensional object identifcation techiques by :
Download or read book the development of two-dimensional object identifcation techiques written by and published by DIANE Publishing. This book was released on with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of a Two-dimensional Object Identification System Using a Gradient-based Shape Metric and a Backpropagation Neural Network by : William A. Bowen
Download or read book Development of a Two-dimensional Object Identification System Using a Gradient-based Shape Metric and a Backpropagation Neural Network written by William A. Bowen and published by . This book was released on 1997 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Two Dimensional Object Recognition System Using a Gradient-based Shape Metric Technique by : Guat Eng Gan
Download or read book A Two Dimensional Object Recognition System Using a Gradient-based Shape Metric Technique written by Guat Eng Gan and published by . This book was released on 1997 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Object Recognition by : M. Bennamoun
Download or read book Object Recognition written by M. Bennamoun and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui sition, 3-D object reconstruction, object modelling, and the matching of ob jects, all of which are essential in the construction of an object recognition system.
Book Synopsis Three-Dimensional Object Recognition from Range Images by : Minsoo Suk
Download or read book Three-Dimensional Object Recognition from Range Images written by Minsoo Suk and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.
Book Synopsis Approaches to Two-dimensional Object Recognition by : Cho-Huak Teh
Download or read book Approaches to Two-dimensional Object Recognition written by Cho-Huak Teh and published by . This book was released on 1988 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Three-dimensional Object Description and Recognition Using Feature Vector Techniques by : Russell Williams Taylor
Download or read book Three-dimensional Object Description and Recognition Using Feature Vector Techniques written by Russell Williams Taylor and published by . This book was released on 1988 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recognition of Two Dimensional Objects Using Hypothesis Integration Technique by :
Download or read book Recognition of Two Dimensional Objects Using Hypothesis Integration Technique written by and published by . This book was released on 1987 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper describes an algorithm for recognition of two dimensional solid objects using a hypothesis integration technique. Matchings between model and image features are used to generate correspondence hypotheses that map the object into image coordinates. Consistent correspondence hypotheses are clustered and selected for verification. A refined correspondence is computed using all the matches participating in the selected cluster. The resulting correspondence is either verified or refuted by comparing the object directly against the image. To demonstrate the algorithm, we present some examples of recognizing some two dimensional rigid objects (objects can have arbitrary 2D translation, rotation and small amounts of foreshortening). Orthographic projection is assumed. Partial occlusion is allowed. This approach is robust and general. (Appears in the Proceedings of the IEEE Workshop on Computer Vision, November, 1987.).
Book Synopsis A High-speed Algorithm for Two-dimensional Object Recognition Utilizing Foveation by : Kiran S. Challapali
Download or read book A High-speed Algorithm for Two-dimensional Object Recognition Utilizing Foveation written by Kiran S. Challapali and published by . This book was released on 1992 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Two Dimensional Object Recognition Using Generalized Hough Transform and Genetic Algorithm by : Hak Chuah Sim
Download or read book Two Dimensional Object Recognition Using Generalized Hough Transform and Genetic Algorithm written by Hak Chuah Sim and published by . This book was released on 1995 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Three-Dimensional Object Recognition Systems by : Anil K Jain
Download or read book Three-Dimensional Object Recognition Systems written by Anil K Jain and published by . This book was released on 1993-05-05 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and construction of three-dimensional [3-D] object recognition systems has long occupied the attention of many computer vision researchers. The variety of systems that have been developed for this task is evidence both of its strong appeal to researchers and its applicability to modern manufacturing, industrial, military, and consumer environments. 3-D object recognition is of interest to scientists and engineers in several different disciplines due to both a desire to endow computers with robust visual capabilities, and the wide applications which would benefit from mature and robust vision systems. However, 3-D object recognition is a very complex problem, and few systems have been developed for actual production use; most existing systems have been developed for experimental use by researchers only. This edited collection of papers summarizes the state of the art in 3-D object recognition using examples of existing 3-D systems developed by leading researchers in the field. While most chapters describe a complete object recognition system, chapters on biological vision, sensing, and early processing are also included. The volume will serve as a valuable reference source for readers who are involved in implementing model-based object recognition systems, stimulating the cross-fertilisation of ideas in the various domains. The variety of topics on Image Communication is so broad that no one can be a specialist in all the topics, and the whole area is beyond the scope of a single volume, while the requirement of up to date information is ever increasing. This new closed-end book series is intended both as a comprehensive reference for those already active in the area of Image Communication, as well as providing newcomers with a foothold for commencing research. Each volume will comprise a state of the art work on the editor's/author's area of expertise, containing information until now scattered in many journals and proceedings.
Book Synopsis AN OVERVIEW OF THREE - DIMENSIONAL OBJECT RECOGNITION by : PAUL BESL
Download or read book AN OVERVIEW OF THREE - DIMENSIONAL OBJECT RECOGNITION written by PAUL BESL and published by . This book was released on 1984 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Local Association Based Recognition of Two-dimensional Objects by : I. K. Sethi
Download or read book Local Association Based Recognition of Two-dimensional Objects written by I. K. Sethi and published by . This book was released on 1990 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Object Detection by Two-Dimensional Linear Prediction by : Thomas F. Quatieri
Download or read book Object Detection by Two-Dimensional Linear Prediction written by Thomas F. Quatieri and published by . This book was released on 1983 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important component of any automated image analysis system is the detection and classification of objects. In this report, the authors consider the first of these problems where the specific goal is to detect anomalous areas (e.g., man-made objects) in textured backgrounds such as trees, grass, and fields of aerial photographs. Their detection algorithm relies on a significance test which adapts itself to the changing background in such a way that a constant false alarm rate is maintained. Furthermore, this test has a potentially practical implementation since it can be expressed in terms of the residuals of an adaptive two-dimensional linear predictor. The algorithms is demonstrated with both synthetic and real-world images.
Book Synopsis Recognising Two-dimensional Object Shapes Using Prominent Visual Features by : Xiaofeng Wei
Download or read book Recognising Two-dimensional Object Shapes Using Prominent Visual Features written by Xiaofeng Wei and published by . This book was released on 1998 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Two-dimensional Object Recognition Using the Chord-tangent Transformation by : Thomas E. Dufresne
Download or read book Two-dimensional Object Recognition Using the Chord-tangent Transformation written by Thomas E. Dufresne and published by . This book was released on 1992 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
