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Statistical Optimization for Geometric Computation: Theory and Practice/ by Kenichi Kanatani

By: Material type: TextTextPublication details: New York: Dover Publications, 1996.Description: xviii,509 p. : illu. ; 21 cmISBN:
  • 0486443086
Subject(s): DDC classification:
  • 006.4201519 KAN/S
Contents:
1.Introduction-- 2.Fundamentals of Linear Algebra-- 3.Probabilities and Statistical Estimation-- 4.Representation of Geometric Objects-- 5.Geometric Correction-- 6.3-D Computation by Stereo Vision-- 7.Parametric Fitting--
8.Optimal Filter-- 9. ReNormalisation-- 10.Applications of Geometric Estimation-- 11.3-D Motion Analysis-- 12.3-D Interpretation of Optical Flow-- 13.Information Criterion for Model Selection-- 14.General Theory of Geometric Estimation.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Study Centre Alappuzha, University of Kerala Study Centre Alappuzha, University of Kerala 006.4201519 KAN/S (Browse shelf(Opens below)) Available USCA4308

1.Introduction--
2.Fundamentals of Linear Algebra--
3.Probabilities and Statistical Estimation--
4.Representation of Geometric Objects--
5.Geometric Correction--
6.3-D Computation by Stereo Vision--
7.Parametric Fitting--

8.Optimal Filter--
9. ReNormalisation--
10.Applications of Geometric Estimation--
11.3-D Motion Analysis--
12.3-D Interpretation of Optical Flow--
13.Information Criterion for Model Selection--
14.General Theory of Geometric Estimation.

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