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Cited by 261

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Programmable aperture photography: multiplexed light field acquisition

Liang, Chia-Kai, Lin, Tai-Hsu, Wong, Bing-Yi, Liu, Chi, Chen, Homer H.·2008·ACM Transactions on Graphics

Abstract

In this paper, we present a system including a novel component called programmable aperture and two associated post-processing algorithms for high-quality light field acquisition. The shape of the programmable aperture can be adjusted and used to capture light field at full sensor resolution through multiple exposures without any additional optics and without moving the camera. High acquisition efficiency is achieved by employing an optimal multiplexing scheme, and quality data is obtained by using the two post-processing algorithms designed for self calibration of photometric distortion and for multi-view depth estimation. View-dependent depth maps thus generated help boost the angular resolution of light field. Various post-exposure photographic effects are given to demonstrate the effectiveness of the system and the quality of the captured light field.

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Registry

Crossref · 10.1145/1360612.1360654

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Metadata

Authors
Liang, C.-K., Lin, T.-H., Wong, B.-Y., Liu, C., & Chen, H. H.
Venue
ACM Transactions on Graphics
Published
2008-08
Volume
27
Issue
3
Pages
1-10
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2028778909
Cited by
261
References
36
FWCI
21.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Programmable aperture photography: multiplexed light field acquisition. https://app.cochat.ai/papers/10.1145/1360612.1360654
The paper
Liang, C.-K., Lin, T.-H., Wong, B.-Y., Liu, C., & Chen, H. H. (2008). Programmable aperture photography: multiplexed light field acquisition. ACM Transactions on Graphics. https://doi.org/10.1145/1360612.1360654

Data sources

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.