Tutorial on Quick and Easy Model Fitting Using the SLoM Framework
| Type of publication: | Inproceedings |
| Citation: | HertzbergSC2012 |
| Booktitle: | Spatial Cognition VIII |
| Series: | Lecture Notes in Computer Science |
| Volume: | 7463 |
| Year: | 2012 |
| Pages: | 128-142 |
| Publisher: | Springer-Verlag Berlin Heidelberg |
| ISBN: | 978-3-642-32731-5 |
| URL: | http://informatik.uni-bremen.d... |
| Abstract: | In many areas of experimental science ranging from robotics to psychophysical research, to evaluation of spatial sensor-data and surveying, model fitting is a ubiquitous subproblem. Often it is not the actual scientific goal but rather the necessary evil of calibrating the equipment. This tutorial introduces methodology and a library allowing to solve model fitting problems easily without requiring the user to have an in-depth understanding of this subject. After a brief introduction to the theoretical background we guide the reader through using all main features of the SLoM C++ framework based on a stereo camera and inertial measurement unit (IMU) calibration example which is solved with less than 70 lines of non-problem specific code, and provide hints on applying SLoM to other classes of problems. The reader is only assumed to have a working knowledge of C++ and a basic understanding of statistics and 3D geometry. |
| Userfields: | bdsk-url-1={http://informatik.uni-bremen.de/agebv/en/pub/hertzbergsc12}, pdfurl={http://informatik.uni-bremen.de/agebv/downloads/published/hertzbergSC12.pdf}, project={A7-FreePerspective}, status={Reviewed}, |
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