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



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.

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.

Human behaviour; Motion detection; Sensory processing

Scientific Reports: Volume 12, Issue 1

Publication date31/12/2022
Publication date online13/05/2022
Date accepted by journal27/04/2022
PublisherSpringer Science and Business Media LLC

People (2)


Dr Ross Goutcher

Dr Ross Goutcher

Associate Professor, Psychology

Miss Lauren Murray

Miss Lauren Murray

Tutor (ASF), Psychology