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Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction

2020-04-02 | |  79 |   47 |   0

Abstract

In recent years, several authors have reported that spectral saliency detection methods provide state-of-the-art performance in pre- dicting human gaze in images (see, e.g., [1–3]). We systematically inte- grate and evaluate quaternion DCT- and FFT-based spectral saliency detection [3, 4], weighted quaternion color space components [5], and the use of multiple resolutions [1]. Furthermore, we propose the use of the eigenaxes and eigenangles for spectral saliency models that are based on the quaternion Fourier transform. We demonstrate the outstanding performance on the Bruce-Tsotsos (Toronto), Judd (MIT), and Kootstra- Schomacker eye-tracking data sets.

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