Abstract
The paper presents a thorough comparative analysis of the feature tracking and the feature matching approaches applied to the visual navigation. The evaluation was performed on a synthetic dataset with perfect ground truth to assure maximum reliability of results. The presented results include the analysis of both the feature localization accuracy and the computational costs of different methods. Additionally, the distribution of the uncertainty of the features localization was analyzed and parametrized.
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Schmidt, A., Kraft, M., Fularz, M. (2014). On Tracking and Matching in Vision Based Navigation. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_51
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DOI: https://doi.org/10.1007/978-3-319-11755-3_51
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