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The perception of globally coherent motion
E Mingolla1, J T Todd, J F Norman
1Center for Adaptive Systems, Boston University, MA 02215.
Vision Research
|June 1, 1992
Summary
Human observers integrate local motion signals to perceive global motion. Performance is biased by asymmetric contour sampling but improved by identifiable features, suggesting a vector average pooling process.
Area of Science:
- Visual perception
- Motion perception
- Computational neuroscience
Background:
- Human observers integrate local visual cues to perceive global motion.
- Understanding the spatial integration of ambiguous motion signals is crucial for visual perception research.
- Previous models, like intersection-of-constraints, have been proposed to explain motion perception.
Purpose of the Study:
- To investigate how human observers perceive coherent motion from disparate local motion measures.
- To examine the spatial integration of ambiguous motion signals along contours for global motion perception.
- To determine the underlying pooling process in global motion perception.
Main Methods:
- Observers viewed displays with numerous apertures, each containing contours with specified orientations and velocities.
- Contour trajectories were manipulated to create globally coherent motions (rotations, expansions, translations).
- Analysis of observer reports on global motion direction, considering contour orientation sampling and feature presence.
Main Results:
- Observer reports of global motion direction were biased with asymmetric contour orientation sampling.
- Performance improved with the presence of identifiable features (line ends, crossings) for trajectory tracking.
- Results align with a vector average pooling process, not intersection-of-constraints analysis.
Conclusions:
- Human visual system integrates local motion signals through a vector averaging mechanism.
- Asymmetric sampling of contour orientations introduces bias in global motion perception.
- Identifiable features enhance the accuracy of global motion perception by aiding trajectory tracking.