| Statistical Optimization for Geometric Computation: Theory and Practice Contributor(s): Kanatani, Kenichi (Author) |
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ISBN: 0486443086 ISBN-13: 9780486443089 Publisher: Dover Publications OUR PRICE: $24.26 Product Type: Paperback - Other Formats Published: July 2005 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Optical Data Processing - Mathematics | Reference |
| Dewey: 006.420 |
| LCCN: 2005042844 |
| Series: Dover Books on Mathematics |
| Physical Information: 1.1" H x 5.4" W x 8.4" (1.20 lbs) 528 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |