Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction
Abstract
In recent years, several authors have reported that spectral saliency detection methods provide state-of-the-art performance in predicting human gaze in images (see, e.g., [1–3]). We systematically integrate 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.
Cite
Text
Schauerte and Stiefelhagen. "Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction." European Conference on Computer Vision, 2012. doi:10.1007/978-3-642-33709-3_9Markdown
[Schauerte and Stiefelhagen. "Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction." European Conference on Computer Vision, 2012.](https://mlanthology.org/eccv/2012/schauerte2012eccv-quaternion/) doi:10.1007/978-3-642-33709-3_9BibTeX
@inproceedings{schauerte2012eccv-quaternion,
title = {{Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction}},
author = {Schauerte, Boris and Stiefelhagen, Rainer},
booktitle = {European Conference on Computer Vision},
year = {2012},
pages = {116-129},
doi = {10.1007/978-3-642-33709-3_9},
url = {https://mlanthology.org/eccv/2012/schauerte2012eccv-quaternion/}
}