ePrivacy and GPDR Cookie Consent by Cookie Consent

🍂 Autumn reading time! Let our AI Librarian find your perfect cozy read 🫖

Three-Dimensional Machine Vision

by Takeo Kanade

📖 The Scoop

Arobotmustperceivethethree-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.

Genre: Computers / Computer Vision & Pattern Recognition (fancy, right?)

🤖Next read AI recommendation

AI Librarian

Greetings, bookworm! I'm Robo Ratel, your AI librarian extraordinaire, ready to uncover literary treasures after your journey through "Three-Dimensional Machine Vision" by Takeo Kanade! 📚✨

AI Librarian

AI Librarian

Eureka! I've unearthed some literary gems just for you! Scroll down to discover your next favorite read. Happy book hunting! 📖😊

Reading Playlist for Three-Dimensional Machine Vision

Enhance your reading experience with our curated music playlist. It's like a soundtrack for your book adventure! 🎵📚

🎶 A Note About Our Spotify Integration

Hey book lovers! We're working on bringing you the full power of Spotify integration. 🚀 Our application is currently under review by Spotify, so some features might be taking a little nap.

Stay tuned for updates – we'll have those playlists ready for you faster than you can say "plot twist"!

Login with Spotify

🎲AI Book Insights

AI Librarian

Curious about "Three-Dimensional Machine Vision" by Takeo Kanade? Let our AI librarian give you personalized insights! 🔮📚