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OverviewArobotmustperceivethethree-dimensionalworldifitistobeeffective there. Yet recovering 3-D information from projected images is difficult, and still remains thesubjectofbasic research. Alternatively, onecan use sensorsthatcanprovidethree-dimensionalrangeinformationdirectly. The technique ofprojecting light-stripesstartedto be used in industrialobject recognition systems asearly asthe 1970s,andtime-of-flight laser-scanning range finders became available for outdoor mobile robotnavigation in the mid-eighties. Once range data are obtained, a vision system must still describe the scene in terms of 3-D primitives such as edges, surfaces, and volumes, and recognize objeCts of interest. Today, the art of sensing, extractingfeatures, and recognizing objectsbymeans ofthree-dimensional rangedataisoneofthemostexcitingresearchareasincomputervision. Three-Dimensional Machine Vision is a collection of papers dealing withthree-dimensionalrangedata. Theauthorsarepioneeringresearchers: some are founders and others are bringingnew excitements in thefield. I have tried to select milestone papers, and my goalhas beento make this bookareferenceworkforresearchersinthree-dimensionalvision. The book is organized into four parts: 3-D Sensors, 3-D Feature Extractions,ObjectRecognitionAlgorithms,andSystemsandApplications. Part I includes four papers which describe the development of unique, capable 3-D range sensors, as well as discussions of optical, geometrical, electronic, and computational issues. Mundy and Porter describe asensor systembasedonstructuredilluminationforinspectingmetalliccastings. In order to achieve high-speed data acquisition, it uses multiple lightstripes withwavelength multiplexing. Case, Jalkio,andKim alsopresentamulti- stripe system and discuss various design issues in range sensing by triangulation. ThenumericalstereocameradevelopedbyAltschuler, Bae, Altschuler, Dijak, Tamburino, and Woolford projects space-coded grid patterns which are generated by an electro-optical programmable spatial viii PREFACE light modulator. Kanade and Fuhrman present a proximity sensor using multipleLEDswhich areconically arranged. Itcan measurebothdistance andorientationofanobject'ssurface. Full Product DetailsAuthor: Takeo KanadePublisher: Kluwer Academic Publishers Imprint: Kluwer Academic Publishers Edition: 1987 ed. Volume: 21 Dimensions: Width: 15.50cm , Height: 3.30cm , Length: 23.50cm Weight: 1.165kg ISBN: 9780898381887ISBN 10: 0898381886 Pages: 610 Publication Date: 31 March 1987 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsI: 3-D Sensors.- A Three-Dimensional Sensor Based on Structured Light.- 3-D Vision System Analysis and Design.- Robot Vision by Encoded Light Beams.- A Noncontact Optical Proximity Sensor for Measuring Surface Shape.- II: 3-D Feature Extractions.- Toward a Surface Primal Sketch.- 3-D Object Representation from Range Data Using Intrinsic Surface Properties.- Use of Vertex-Type Knowledge for Range Data Analysis.- III: 3-D Recognition Algorithms.- The Representation, Recognition, and Positioning of 3-D Shapes from Range Data.- An Object Recognition System Using Three-Dimensional Information.- 3DPO: A Three-Dimensional Part Orientation System.- Recognition and Localization of Overlapping Parts From Sparse Data.- IV: Systems And Applications.- Producing Space Shuttle Tiles with a 3-D Non-Contact Measurement System.- Three-Dimensional Vision Systems Using the Structured-Light Method for Inspecting Solder Joints and Assembly Robots.- A Semantic-Free Approach to 3-D Robot Color Vision.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |