The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Computations underlying the measurement of visual motion
Abstract
Abstract The organization of movement in a changing image provides a valuable source of information for analyzing the environment in terms of objects, their motion in space, and their three-dimensional structure. A description of this movement is not provided to our visual system directly, however; it must be inferred from the pattern of changing intensity that reaches the eye. This paper examines the problem of motion measurement, which we formulate as the computation of an instantaneous two-dimensional velocity field. Initial motion measurements occur at the location of significant intensity changes, as suggested by Marr and Ullman [1]. These measurements provide only one component of velocity, and must be integrated to compute the two-dimensional velocity field. A fundamental problem for this integration is that motion is not determined uniquely from the changing image. An additional constraint of smoothness of the velocity field is formulated, based on the physical assumption that surfaces are generally smooth, allowing the computation of a unique solution. A theoretical analysis of the conditions under which this computation yields the correct velocity field suggests that the solution is physically plausible; empirical studies show the results to be consistent with human motion perception.
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Citations
Cites
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Self-citation
Cited by
Aloimonos, J., Weiss, I., & Bandyopadhyay, A. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133571 · Cited by 931
Optical flow using spatiotemporal filters
Heeger, D. J. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133568 · Cited by 534
Metadata
- Authors
- Hildreth, E. C.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1984-08
- Volume
- 23
- Issue
- 3
- Pages
- 309-354
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W112287601
- Cited by
- 303
- References
- 1
- FWCI
- 14.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hildreth, E. C. (1984). Computations underlying the measurement of visual motion. Artificial Intelligence. https://doi.org/10.1016/0004-3702(84)90018-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.