Shape From Shading (Artificial Intelligence)
Language: English
Published by Mit Pr, 1989
- Hardcover
- Used

Condition: Used - Near fine
Current price: US$ 33.57
Quantity: 1 available
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Ancien livre de bibliothèque avec équipements. Sans jaquette. Couverture différente. Edition 1989. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. No dust jacket. Different cover. Edition 1989. Ammareal gives back up to 15% of this item's net price to charity organizations.
Seller Inventory # H-711-908
- Title
- Shape From Shading (Artificial Intelligence)
- Author
- Berthold K. Horn et Michael J. Brooks
- Publisher
- Mit Pr
- Publication year
- 1989
- Condition
- Bon
- Binding
- No jacket
- Language
- English
- ISBN 10
- 0262081830
- ISBN 13
- 9780262081832
The book's 17 chapters cover: Surface Descriptions from Stereo and Shading. Shape and Source from Shading. The Eikonal Equation: some Results Applicable to Computer Vision. A Method for Enforcing Integrability in Shape from Shading Algorithms. Obtaining Shape from Shading Information. The Variational Approach to Shape from Shading. Calculating the Reflectance Map. Numerical Shape from Shading and Occluding Boundaries. Photometric Invariants Related to Solid Shape. Improved Methods of Estimating Shape from Shading Using the Light Source Coordinate System. A Provably Convergent Algorithm for Shape from Shading. Recovering Three Dimensional Shape from a Single Image of Curved Objects. Perception of Solid Shape from Shading. Local Shading Analysis Pentland. Radarclinometry for the Venus Radar Mapper. Photometric Method for Determining Surface Orientation from Multiple Images.
Berthold K. P. Horn is Professor of Electrical Engineering and Computer Science at MIT. He has presided over the field of machine vision for more than a decade and is the author of Robot Vision. Michael Brooks is Reader in Computer Science at The Flinders University of South Australia. Shape from Shading is included in the Artificial Intelligence series, edited by Michael Brady, Daniel Bobrow, and Randall Davis.
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