Steven A. Cholewiak
ChromaBlur: Rendering Chromatic Eye Aberration Improves Accommodation and Realism
Cholewiak, Steven A.; Love, Gordon D.; Srinivasan, Pratul P.; Ng, Ren; Banks, Martin S.
Authors
Gordon D. Love
Pratul P. Srinivasan
Ren Ng
Martin S. Banks
Abstract
Computer-graphics engineers and vision scientists want to generate images that reproduce realistic depth-dependent blur. Current rendering algorithms take into account scene geometry, aperture size, and focal distance, and they produce photorealistic imagery as with a high-quality camera. But to create immersive experiences, rendering algorithms should aim instead for perceptual realism. In so doing, they should take into account the significant optical aberrations of the human eye. We developed a method that, by incorporating some of those aberrations, yields displayed images that produce retinal images much closer to the ones that occur in natural viewing. In particular, we create displayed images taking the eye's chromatic aberration into account. This produces different chromatic effects in the retinal image for objects farther or nearer than current focus. We call the method ChromaBlur. We conducted two experiments that illustrate the benefits of ChromaBlur. One showed that accommodation (eye focusing) is driven quite effectively when ChromaBlur is used and that accommodation is not driven at all when conventional methods are used. The second showed that perceived depth and realism are greater with imagery created by ChromaBlur than in imagery created conventionally. ChromaBlur can be coupled with focus-adjustable lenses and gaze tracking to reproduce the natural relationship between accommodation and blur in HMDs and other immersive devices. It may thereby minimize the adverse effects of vergence-accommodation conflicts.
Citation
Cholewiak, S. A., Love, G. D., Srinivasan, P. P., Ng, R., & Banks, M. S. (2017). ChromaBlur: Rendering Chromatic Eye Aberration Improves Accommodation and Realism. ACM Transactions on Graphics, 36(6), Article 210. https://doi.org/10.1145/3130800.3130815
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 17, 2017 |
Online Publication Date | Nov 20, 2017 |
Publication Date | Nov 20, 2017 |
Deposit Date | Sep 12, 2017 |
Publicly Available Date | Mar 28, 2024 |
Journal | ACM Transactions on Graphics |
Print ISSN | 0730-0301 |
Electronic ISSN | 1557-7368 |
Publisher | Association for Computing Machinery (ACM) |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Issue | 6 |
Article Number | 210 |
DOI | https://doi.org/10.1145/3130800.3130815 |
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Copyright Statement
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM transactions on graphics, 36, 6 (210) http://doi.acm.org/10.1145/3130800.3130815
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