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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)

Kenichi Kanatani, Mathematics




[PDF.vu60] Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)

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 | #518709 in Books |  2005-07-26 |  2005-07-26 | Original language:English | PDF # 1 |  8.50 x1.06 x5.51l,1.20 | File type: PDF | 526 pages

||0 of 8 people found the following review helpful.| FIXED: missing pages in first two copies recieved, reordered a yr later, OK|By icprofit6000|The book look liked it had potential, I found that p. 271-302 had been replaced with the context on another book. This applies to the 2005 edition. I check with a friend who has the same edition and his copy does not have this problem.

sent a replacement, replacement had th

This text for graduate students discusses the mathematical foundations of statistical inference for building three-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. The numerous mathematical prerequisites for developing the theories are ex...

You easily download any file type for your device.Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)   |  Kenichi Kanatani, Mathematics. Which are the reasons I like to read books. Great story by a great author.

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