Structure from Motion using the Extended Kalman Filter by Javier Civera
The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community.-
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From the reviews:
“This collection of methods and techniques concerns the so-called structure from motion (SfM) problem …this book addresses the SfM problem as an unsupervised 3D sparse points reconstruction, in particular using the extended Kalman filter. … a good read for researchers and PhD students in computer vision and robotics areas, because it provides an interesting point of view on how to attack and solve the SfM problem.” (Marco Fratarcangeli, ACM Computing Reviews, March, 2013)
| SKU | Unavailable |
| ISBN 13 | 9783642427862 |
| ISBN 10 | 3642427863 |
| Title | Structure from Motion using the Extended Kalman Filter |
| Author | Javier Civera |
| Series | Springer Tracts In Advanced Robotics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2014-01-26 |
| Number of pages | 172 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |