Abstract
We extend the Accelerated Segment Test (AST) corner detector to operate on spherical images. We represent images using a discrete geodesic grid composed of triangular or hexagonal pixels. This representation has a number of advantages over the more common equirectangular parameterisation and, in the case of hexagonal pixels, leads more naturally to the discrete circular discs used in the AST. We present results on fully spherical imagery and show that our spherical AST outperforms planar AST applied to equirectangular images in terms of repeatability under rotation.
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Guan, H., Smith, W.A.P., Ren, P. (2013). Corner Detection in Spherical Images via the Accelerated Segment Test on a Geodesic Grid. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2013. Lecture Notes in Computer Science, vol 8033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41914-0_40
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DOI: https://doi.org/10.1007/978-3-642-41914-0_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41913-3
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