Article

Image statistics determine the integration of visual cues to motion-in-depth

Details

Citation

Goutcher R, Murray L & Benz B (2022) Image statistics determine the integration of visual cues to motion-in-depth. Scientific Reports, 12 (1), Art. No.: 7941. https://doi.org/10.1038/s41598-022-12051-5

Abstract
Motion-in-depth perception is critical in enabling animals to avoid hazards and respond to potential threats. For humans, important visual cues for motion-in-depth include changing disparity (CD) and changing image size (CS). The interpretation and integration of these cues depends upon multiple scene parameters, such as distance moved, object size and viewing distance, posing a significant computational challenge. We show that motion-in-depth cue integration depends upon sensitivity to the joint probabilities of the scene parameters determining these signals, and on the probability of CD and CS signals co-occurring. Models that took these factors into account predicted human performance in speed-in-depth and cue conflict discrimination tasks, where standard linear integration models could not. These results suggest that cue integration is affected by both the uncertainty of sensory signals and the mapping of those signals to real-world properties. Evidence of a role for such mappings demonstrates the importance of scene and image statistics to the processes underpinning cue integration and the perception of motion-in-depth.

Keywords
Human behaviour; Motion detection; Sensory processing

Journal
Scientific Reports: Volume 12, Issue 1

StatusPublished
Publication date31/12/2022
Publication date online31/05/2022
Date accepted by journal27/04/2022
URLhttp://hdl.handle.net/1893/34325
PublisherSpringer Science and Business Media LLC
eISSN2045-2322

People (2)

People

Dr Ross Goutcher
Dr Ross Goutcher

Lecturer, Psychology

Miss Lauren Murray
Miss Lauren Murray

PhD Researcher, Psychology