Recording dynamic facial micro-expressions with a multi-focus camera array

We present a multi-camera array for capturing dynamic high-resolution videos of the human face. Compared to traditional single-camera configurations, our array of 54 individual cameras allows stitching of high-resolution composite video frames (709 megapixels total). In our novel multi-focus strategy, each camera in the array focuses on a unique object plane to resolve non-planar surfaces at a higher resolution than a standard single-lens camera design. By overcoming the standard resolution and depth-of-field (DOF) tradeoffs, we use our array design to capture video of macroscopically curved surfaces such as the human face at a lateral resolution of 26.14 ± 5.8 µm across a composite DOF of ∼43 mm that covers the entire face (85 cm<sup>2</sup>+ FOV). Compared to a single-focus configuration, this is almost a 10-fold increase in effective DOF. We demonstrate how our multi-focus camera array can capture dynamic facial expressions at microscopic resolution with relevance in several biomedical applications.

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Publication Details

Journal
Biomedical Optics Express
Published
2024-12-26
DOI
https://doi.org/10.1364/boe.547944
Citations
5
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.60

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article

Recording dynamic facial micro-expressions with a multi-focus camera array

Kanghyun Kim, Kevin C. Zhou, Clare B. Cook, Lucas Kreiß et al.
5 citations
Biomedical Optics Express
Image Processing Techniques and Applications
1.60
article

Recording dynamic facial micro-expressions with a multi-focus camera array

Kanghyun Kim, Kevin C. Zhou, Clare B. Cook, Lucas Kreiß, Mark Harfouche, Aurélien Bègue, Amey Chaware, Roarke Horstmeyer, Clay Dugo, Xi Yang, Weiheng Tang, Ramana Balla
article en
5 citations

Abstract

We present a multi-camera array for capturing dynamic high-resolution videos of the human face. Compared to traditional single-camera configurations, our array of 54 individual cameras allows stitching of high-resolution composite video frames (709 megapixels total). In our novel multi-focus strategy, each camera in the array focuses on a unique object plane to resolve non-planar surfaces at a higher resolution than a standard single-lens camera design. By overcoming the standard resolution and depth-of-field (DOF) tradeoffs, we use our array design to capture video of macroscopically curved surfaces such as the human face at a lateral resolution of 26.14 ± 5.8 µm across a composite DOF of ∼43 mm that covers the entire face (85 cm<sup>2</sup>+ FOV). Compared to a single-focus configuration, this is almost a 10-fold increase in effective DOF. We demonstrate how our multi-focus camera array can capture dynamic facial expressions at microscopic resolution with relevance in several biomedical applications.

Biomedical Optics ExpressVol. 16(2)
Duke University (US), Optics Technology (United States) (US)
National Science Foundation, National Institutes of Health, Office of the Director, National Cancer Institute, National Institute of Environmental Health Sciences, National Institute of Biomedical Imaging and Bioengineering, Office of Research Infrastructure Programs, National Institutes of Health
Openalex Percentile: Top 14%
Image Processing Techniques and Applications
1.60
DOIOpen Access PDFOpenAlex
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