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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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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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. xviii + 509 Illus. Artikel-Nr. 8143944
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Anbieter: moluna, Greven, Deutschland
Zustand: 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. Artikel-Nr. 898069144
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Artikel-Nr. 9780486443089
Anzahl: 2 verfügbar