Tutorial on Quick and Easy Model Fitting Using the SLoM Framework
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.
Source Code and Data Set