Introductory Techniques for 3-D Computer Vision
โ Scribed by Emanuele Trucco, Alessandro Verri
- Publisher
- Prentice Hall
- Year
- 1998
- Tongue
- English
- Leaves
- 363
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision. An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.
โฆ Subjects
Computer Vision & Pattern Recognition;AI & Machine Learning;Computer Science;Computers & Technology;Graphics & Design;Computers & Technology;Internet, Groupware, & Telecommunications;Networking & Cloud Computing;Computers & Technology;Graphics & Multimedia;DirectX;Flash;GIS;OpenGL;Solid Works;Programming;Computers & Technology;Imaging Systems;Computer Modelling;Engineering;Engineering & Transportation;Electrical & Electronics;Circuits;Digital Design;Electric Machinery & Motors;Electronics;Fiber
๐ SIMILAR VOLUMES
An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging, this book covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates o
Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views
Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views
Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views
Although Hartley's book offers a deeper perspective on stereo 3D reconstruction, it is also aimed at an audience with a higher knowledge on this area, both mathematically and conceptually. This book on the other hand offers a more simplistic solution but it also offers a good review on disparity and