Visual Psychophysics of Egomotion
Abstract
Human observers' ability to perceive self motion using information contained within optic-flow patterns was investigated. Subjects discriminated changes in heading direction as stimulus parameters were manipulated. Some of the results were surprising and difficult to explain in the context of current theories. In order to better understand the results, the role of eye movements in self-motion detection and in speed discrimination was investigated. The end product is a model that can account for the findings. The optimal stimulus for motion detection was also explored to define the shape (x,y,t) of the human motion sensors, which are believed to be involved in the early processing stages of self-motion perception. A computational model for the extraction of 3D motion information from 2D motion information was also developed. The neural network model was able to qualitatively account for the human observer's ability to detect changes in heading direction. Egomotion, Motion perception, Curvilinear motion, Self motion perception, Eccentricity, Eye movements.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 1994
- Accession Number
- ADA282547
Entities
People
- Kathleen Turano
Organizations
- Johns Hopkins University