Paper
1 April 1991 Psychophysical estimation of the human depth combination rule
Michael S. Landy, Laurence Thomas Maloney, Mark J. Young
Author Affiliations +
Proceedings Volume 1383, Sensor Fusion III: 3D Perception and Recognition; (1991) https://doi.org/10.1117/12.25260
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
We describe a series of experiments designed to test (1) whether human observers combine depth cues using a weighted average when depth estimates in different maps are nearly consistent, (2) whether human observers behave as robust estimators when depths become increasingly inconsistent, and (3) whether the weights used in the linear rule of combination change to reflect the estimated reliability of different depth cues. We report initial experiments concerning texture and motion. The data are clearly consistent with the notion that the depth percept is a linear combination of the individual depth values portrayed by each cue. By randomly varying the shapes of the texture elements, the texture cue is artificially made unreliable, and the data support the hypothesis that unreliable cues arc given less weight. Finally, there is an indication that when cues are strongly inconsistent, the weight on one of the cues is lowered, consistent with the hypothesis of robustness.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael S. Landy, Laurence Thomas Maloney, and Mark J. Young "Psychophysical estimation of the human depth combination rule", Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); https://doi.org/10.1117/12.25260
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Cited by 35 scholarly publications.
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KEYWORDS
Reliability

Copper

Sensor fusion

Chlorine

Picosecond phenomena

Cobalt

Data modeling

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