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books
| book details |
Theory of Reconstruction from Image Motion
By (author) Stephen Maybank
| book description |
Theory of Reconstruction from Image Motion presents the mathematics underlying the reconstruction of camera motion from the movements of points in the camera image. The author describes recent work employing mathematical methods drawn from linear algebra, projective geometry, algebraic geometry, the theory of transversality and the theory of least squares approximation. Many problems in reconstructions are best tackled using methods from projective or algebraic geometry. However, these methods are not widely known to researchers in computer vision. As a consequence, purely algebraic methods are often used instead, leading to large and complicated expressions, which are difficult to interpret. many of the arguments in this volume illustrate the speed and efficiency of geometric methods for solving certain problems that arise in reconstruction. This book is a good starting point for anyone interested in the application of different mathematical techniques to the rapidly expanding field of computer vision, especially in the areas of vehicle guidance, robotics and remote sensing.
| product details |
Normally shipped |
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 1 Dec 1992
Language |
Format | Hardback
Pages | 272
Dimensions | 216 x 138 x 0mm (L x W x H)
Weight | 565g
ISBN | 978-3-5405-5537-7
Readership Age |
BISAC | computers / computer vision
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