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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.
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.
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Contenuti
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. Renormalization 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 References Index
Product Description
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.
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
Editore:
Dover Publications, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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paperback. Condizione: Near Fine. Condition Notes: Excellent, unmarked copy with little wear and tight binding. We ship in recyclable American-made mailers. 100% money-back guarantee on all orders. Codice articolo 1571746
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
Editore:
Dover Publications, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
Editore:
Dover Publications, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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Paperback
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
Editore:
Dover Publications, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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Condizione: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials. Codice articolo BVV.0486443086.G
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Statistical Optimization for Geometric Computation: Theory and Practice (Dover Books on Mathematics)
Editore:
Dover Publications, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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Statistical Optimization for Geometric Computation
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ISBN 10: 0486443086
ISBN 13: 9780486443089
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Paperback. Condizione: As New. Reprint. 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 ". Codice articolo 52029
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Statistical Optimization For Geometric Computation : Theory And Practice
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Statistical Optimization for Geometric Computation: Theory and Practice
Editore:
Dover Publications, 2005
ISBN 10: 0486443086
ISBN 13: 9780486443089
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Statistical Optimization For Geometric Computation : Theory And Practice
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Statistical Optimization for Geometric Computation: Theory and Practice (Paperback or Softback)
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ISBN 13: 9780486443089
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