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Books > Computing & IT > Applications of computing > Image processing

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Statistical Optimization for Geometric Computation - Theory and Practice (Paperback) Loot Price: R620
Discovery Miles 6 200
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Statistical Optimization for Geometric Computation - Theory and Practice (Paperback): Kenichi Kanatani

Statistical Optimization for Geometric Computation - Theory and Practice (Paperback)

Kenichi Kanatani

Series: Dover Books on Mathematics

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List price R715 Loot Price R620 Discovery Miles 6 200 | Repayment Terms: R58 pm x 12* You Save R95 (13%)

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This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise -- a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition.

General

Imprint: Dover Publications Inc.
Country of origin: United States
Series: Dover Books on Mathematics
Release date: July 2005
First published: July 2005
Authors: Kenichi Kanatani
Dimensions: 213 x 137 x 28mm (L x W x T)
Format: Paperback - Trade
Pages: 528
ISBN-13: 978-0-486-44308-9
Categories: Books > Science & Mathematics > Mathematics > General
Books > Reference & Interdisciplinary > Encyclopaedias & reference works > Reference works > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 0-486-44308-6
Barcode: 9780486443089

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