A single coordinate framework for optic flow and binocular disparity
Andrew Glennerster, Jenny C.A. Read

TL;DR
This paper proposes a unified coordinate framework for analyzing optic flow and binocular disparity, emphasizing the geometric relationships and practical advantages of decomposing flow patterns during fixation.
Contribution
It introduces a single coordinate system that unifies optic flow and disparity analysis, clarifying their geometric relationship and simplifying understanding of flow patterns during fixation.
Findings
Decomposition of flow into 'towards', 'sideways', 'vergence', and 'cyclovergence' components.
Unified framework clarifies the relationship between optic flow and disparity.
Practical benefits for surface perception and action control.
Abstract
Optic flow is two dimensional, but no special qualities are attached to one or other of these dimensions. For binocular disparity, on the other hand, the terms 'horizontal' and 'vertical' disparities are commonly used. This is odd, since binocular disparity and optic flow describe essentially the same thing. The difference is that, generally, people tend to fixate relatively close to the direction of heading as they move, meaning that fixation is close to the optic flow epipole, whereas, for binocular vision, fixation is close to the head-centric midline, i.e. approximately 90 degrees from the binocular epipole. For fixating animals, some separations of flow may lead to simple algorithms for the judgement of surface structure and the control of action. We consider the following canonical flow patterns that sum to produce overall flow: (i) 'towards' flow, the component of translational…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Vision and Imaging · Optical measurement and interference techniques · Visual perception and processing mechanisms
