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Synopsis
For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area.
Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.
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About the Author
Michel Dhome, is Research Director at the CNRS and is a Professor at the University of Clermont-Ferrand, France.
From the Back Cover
For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area.
Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.
From the Inside Flap
For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area.
Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images.
"About this title" may belong to another edition of this title.
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Visual Perception Through Video Imagery
Published by
ISTE Ltd and John Wiley & Sons Inc, 2009
ISBN 10: 1848210167
ISBN 13: 9781848210165
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Condition: New. For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Editor(s): Dhome, Michel. Series: ISTE. Num Pages: 328 pages, Illustrations. BIC Classification: UGV. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 224 x 165 x 23. Weight in Grams: 594. . 2009. 1st Edition. Hardcover. . . . . Seller Inventory # V9781848210165
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Visual Perception Through Video Imagery (Hardcover)
Published by
ISTE Ltd and John Wiley & Sons Inc, London, 2009
ISBN 10: 1848210167
ISBN 13: 9781848210165
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Hardcover. Condition: new. Hardcover. For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Part 2 is essentially concerned with the estimation of the relative object/capture position when a priori information is introduced (the CAD model of the object). Finally, Part 3 discusses the inference of density information and the shape recognition in images. For several decades researchers have tried to construct perception systems based on the registration data from video cameras. This work has produced various tools that have made recent advances possible in this area. Part 1 of this book deals with the problem of the calibration and auto-calibration of video captures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781848210165
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