Krieger G, Rentschler I, Hauske G, Schill K, Zetzsche C (2000)
Publication Type: Journal article
Publication year: 2000
Publisher: VSP
Book Volume: 13
Pages Range: 201-214
Journal Issue: 2-3
URI: https://elib.dlr.de/20732/
Based on an information theoretical approach, we investigate feature selection processes in saccadic object and scene analysis. Saccadic eye movements of human observers are recorded for a variety of natural and artificial test images. These experimental data are used for a statistical evaluation of the fixated image regions. Analysis of second-order statistics indicates that regions with higher spatial variance have a higher probability to be fixated, but no significant differences beyond these variance effects could be found at the level of power spectra. By contrast, an investigation with higher-order statistics, as reflected in the bispectral density, yielded clear structural differences between the image regions selected by saccadic eye movements as opposed to regions selected by a random process. These results indicate that nonredundant, intrinsically two-dimensional image features like curved lines and edges, occlusions, isolated spots, etc. play an important role in the saccadic selection process which must be integrated with top-down knowledge to fully predict object and scene analysis by human observers.
APA:
Krieger, G., Rentschler, I., Hauske, G., Schill, K., & Zetzsche, C. (2000). Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics. Spatial vision, 13(2-3), 201-214. https://doi.org/10.1163/156856800741216
MLA:
Krieger, Gerhard, et al. "Object and scene analysis by saccadic eye-movements: an investigation with higher-order statistics." Spatial vision 13.2-3 (2000): 201-214.
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