Vision-model-based image foveation and motion estimation

Eli Peli; Yitzhak Yitzhaky

doi:10.1117/1.2084667

1 October 2005 Vision-model-based image foveation and motion estimation

Eli Peli, Yitzhak Yitzhaky

Author Affiliations +

Optical Engineering, Vol. 44, Issue 10, 107004 (October 2005). https://doi.org/10.1117/1.2084667

Abstract

Foveated imaging systems applicable in various single-user displays mimic the visual system's image structure, where resolution decreases gradually away from the fovea. The main benefit is the low average image resolution while maintaining high resolution at the center of the gaze. When the end user is a human observer, it is advantageous for the foveation process to closely match the visual system parameters. This work directly applies a multichannel model of the visual system to form foveated images. A systems-engineering approach applied to the vision model produces quantitative image spectral content across the visual channels. Foveated images are constructed according to the contrast threshold and image content calculated at different eccentricities. Also, variable-resolution feature detection (edge and bar) that corresponds to early visual processing is produced, based on the available image content across the channels. Motion between shifted foveated images (required in applications such as image compression and motion compensation) is estimated using either the foveated images or the detected feature images. Results using several similarity metrics and imaging conditions show that reliable motion estimation can be achieved, while features with nonsimilar resolutions (different scales) are matched.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Eli Peli and Yitzhak Yitzhaky "Vision-model-based image foveation and motion estimation," Optical Engineering 44(10), 107004 (1 October 2005). https://doi.org/10.1117/1.2084667

Published: 1 October 2005

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