Foveal scale space generation with the log-polar transform

Aaron D. Long; Ram M. Narayanan; Timothy J. Kane; Terence F. Rice; Michael J. Tauber

doi:10.1117/12.2262308

28 April 2017 Foveal scale space generation with the log-polar transform

Aaron D. Long, Ram M. Narayanan, Timothy J. Kane, Terence F. Rice, Michael J. Tauber

Proceedings Volume 10209, Image Sensing Technologies: Materials, Devices, Systems, and Applications IV; 1020910 (2017) https://doi.org/10.1117/12.2262308
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

Tracking deep-field objects across a wide field of view requires the use of high resolution image sensors. This imposes a burden on processing systems which must detect and extract features in an image. Deep-field objects have limited spatial support within a wide field of view image and accordingly much of the recorded scene contains superfluous information about the environment. This paper explores the generation of a foveal scale space using the log-polar transform. Foveal scale space is the scale space representation of an input scene where the spatial support of the image at each scale increases with scale and the number of pixels remains constant across each slice of scale space. This paper reports the formulation of a transformation consisting of a peripheral region defined by the log-polar transform and a foveal region where resolution is constant. A method for performing diffusion in this domain is shown and the generation of the foveal scale space is presented.

Citation Download Citation

Aaron D. Long, Ram M. Narayanan, Timothy J. Kane, Terence F. Rice, and Michael J. Tauber "Foveal scale space generation with the log-polar transform", Proc. SPIE 10209, Image Sensing Technologies: Materials, Devices, Systems, and Applications IV, 1020910 (28 April 2017); https://doi.org/10.1117/12.2262308

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KEYWORDS

Diffusion

Rutherfordium

Image resolution

Image processing

Imaging systems

Optical sensors

Spatial resolution

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