Comparing Optical Flow Algorithms Using 6-DOF Motion of Real-World Rigid Objects
Author(s) -
Marco Mammarella,
Giampiero Campa,
Mario L. Fravolini,
Marcello R. Napolitano
Publication year - 2012
Publication title -
ieee transactions on systems, man, and cybernetics, part c (applications and reviews)
Language(s) - English
Resource type - Journals
eISSN - 1558-2442
pISSN - 1094-6977
DOI - 10.1109/tsmcc.2012.2218806
Subject(s) - signal processing and analysis , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , general topics for engineers , power, energy and industry applications , robotics and control systems
The application of optical flow algorithms to guidance and navigation problems has gained considerable interest in recent years. This paper summarizes the results of a comparative study on the accuracy of nine different optical flow (OF) algorithms using videos that are captured from an on-board camera during the flight of an autonomous aircraft model. The comparison among the algorithms relies on two formulas that are used both to calculate the ideal OF generated by the motion of a rigid body in the camera field of view and to estimate the linear and angular velocity from the OF.
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