It takes the average reader 9 hours and 25 minutes to read Statistical Optimization for Geometric Computation by Kenichi Kanatani
Assuming a reading speed of 250 words per minute. Learn more
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 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.
Statistical Optimization for Geometric Computation by Kenichi Kanatani is 548 pages long, and a total of 141,384 words.
This makes it 185% the length of the average book. It also has 173% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 52 minutes to read Statistical Optimization for Geometric Computation aloud.
Statistical Optimization for Geometric Computation is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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