Recording dynamic facial micro-expressions with a multi-focus camera array
Year: 2024
Type: article
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 2 + 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.
Source: Biomedical Optics Express
DOI: 10.1364/boe.547944
Institution: Duke University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,913
Funders: 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 ID: W4405784645