Statistical Optimization for Geometric Computation
Language: English
Published by Dover, Mineola NY, 2005
- Softcover
- Used
Seller: Chequamegon Books, Washburn, WI, U.S.A.Chequamegon Books
AbeBooks seller since February 20, 1999
Condition: Used - As new
US$ 16.00
Quantity: 1 available
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slightly corrected republication of the Elsevier Science Amsterdam 1996 edition 509 pages. ".discusses the mathematical foundations of statistical inference for building three-dimensional models from image and sonsor data that contain noise--a task involving autonomous robots guided by video cameras and sensors." ; 5 3/8 x 8 1/2 ".
Seller Inventory # 52029
- Title
- Statistical Optimization for Geometric Computation
- Author
- Kanatani, Kenichi
- Publisher
- Dover, Mineola NY
- Publication year
- 2005
- Condition
- As New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0486443086
- ISBN 13
- 9780486443089
- Edition
- Reprint.
- Series
- Book 5 of 303: Dover Books on Mathematics
- Seller catalogs
- Science, Physical Sciences, & Math
The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. The numerous mathematical prerequisites for developing the theories are explained systematically in separate chapters. These methods range from linear algebra, optimization, and geometry to a detailed statistical theory of geometric patterns, fitting estimates, and model selection. In addition, examples drawn from both synthetic and real data demonstrate the insufficiencies of conventional procedures and the improvements in accuracy that result from the use of optimal methods.
"Synopsis" may belong to another edition of this title.
Chequamegon Books
Washburn, WI, U.S.A.
AbeBooks seller since February 20, 1999
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