Title
Surface Interpolation in Three-Dimensional Structure-from-Motion Perception.
Abstract
Although it is appreciated that humans can use a number of visual cues to perceive the three-dimensional (3-D) shape of an object, for example, luminance, orientation, binocular disparity, and motion, the exact mechanisms employed are not known (De Yoe and Van Essen 1988). An important approach to understanding the computations performed by the visual system is to develop algorithms (Marr 1982) or neural network models (Lehky and Sejnowski 1988; Siegel 1987) that are capable of computing shape from specific cues in the visual image. In this study we investigated the ability of observers to see the 3-D shape of an object using motion cues, so called structure-from-motion (SFM). We measured human performance in a two-alternative forced choice task using novel dynamic random-dot stimuli with limited point lifetimes. We show that the human visual system integrates motion information spatially and temporally (across several point lifetimes) as part of the process for computing SFM. We conclude that SFM algorithms must include surface interpolation to account for human performance. Our experiments also provide evidence that local velocity information, and not position information derived from discrete views of the image (as proposed by some algorithms), is used to solve the SFM problem by the human visual system.
Year
DOI
Venue
1989
10.1162/neco.1989.1.3.324
Neural Computation
Keywords
Field
DocType
human performance,human visual system,sfm problem,motion cue,sfm algorithm,visual cue,visual image,visual system,local velocity information,3-d shape,surface interpolation,three-dimensional structure-from-motion perception,visual cues,binocular disparity,structure from motion,neural network model,three dimensional,motion perception
Structure from motion,Sensory cue,Computer vision,Binocular disparity,Human visual system model,Interpolation,Artificial intelligence,Luminance,Artificial neural network,Kinetic depth effect,Mathematics
Journal
Volume
Issue
ISSN
1
3
0899-7667
Citations 
PageRank 
References 
7
5.11
2
Authors
3
Name
Order
Citations
PageRank
Masud Husain14711.64
Stefan Treue286.30
Richard A. Andersen33215.09