ISBN: 9780486443089 - statistical optimization for geometric computation: theory and practice (dover books on mathematics) (21 resultados)

Soft cover. Condición: Very Good. First edition thus. Book is clean and tight. 526 p. Book.

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Paperback. Condición: 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 ".…

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Paperback. Condición: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condición: New. pp. xviii + 509 Illus.

Condición: New. pp. xviii + 509.

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Taschenbuch. Condición: Neu. Neuware - 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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Kartoniert / Broschiert. Condición: New. Inhaltsverzeichnisrnrn1. Introductionn2. Fundamentals of Linear Algebran3. Probabilities and Statistical Estimationn4. Representation of Geometric Objectsn5. Geometric Correctionn6. 3-D Computation by Stereo Visionn7. Parametric Fittingn8. Optim.

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Paperback. Condición: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…