Abstract
Motion compensation can be used as a preprocessing step in the application of object tracking in aerial image sequences from Unmanned Air Vehicle to cancel the effect of camera motion. In this paper, we demonstrate Aerial Image Registration that gives high degree of accuracy for motion compensation. Rotation Invariant Fast Features that use approximate radial gradient transform are used to reduce the computation time of feature extraction considerably. These descriptors well define the aerial image features taken from platforms like UAV that are prone to high degree of rotation due to sudden maneuver, scaling, illumination change and noise. Another contribution of the paper is in the formulation of new framework for set based registration of aerial images. Results using the group scheme outperform the usual pair wise registration and demonstrate real-time performance.
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Malagi, V.P., Ramesh Babu, D.R. (2018). Rotation-Invariant Fast Feature Based Image Registration for Motion Compensation in Aerial Image Sequences. In: Guru, D., Vasudev, T., Chethan, H., Kumar, Y. (eds) Proceedings of International Conference on Cognition and Recognition . Lecture Notes in Networks and Systems, vol 14. Springer, Singapore. https://doi.org/10.1007/978-981-10-5146-3_20
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DOI: https://doi.org/10.1007/978-981-10-5146-3_20
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