Recording dynamic facial micro-expressions with a multi-focus camera array
Lucas Kreiss, Weiheng Tang, Ramana Balla, Xi Yang, Amey, Chaware, Kanghyun Kim, Clare B. Cook, Aurelien Begue, Clay Dugo, and Mark Harfouche, Kevin C. Zhou, Roarke Horstmeyer

TL;DR
This paper introduces a multi-focus camera array system with 54 high-resolution cameras to capture detailed, dynamic facial micro-expressions across the entire face, significantly improving resolution and depth-of-field over traditional single-camera setups.
Contribution
The paper presents a novel multi-focus camera array design that captures high-resolution, dynamic facial videos with enhanced depth-of-field and resolution, surpassing traditional single-camera methods.
Findings
Achieved a uniform lateral resolution of ~26.75 micrometers across the face.
Extended the effective depth-of-field to approximately 43mm, nearly 10 times that of single-focus systems.
Demonstrated the system's capability to capture detailed micro-expressions on curved surfaces.
Abstract
We present an approach of utilizing a multi-camera array system for capturing dynamic high-resolution videos of the human face, with improved imaging performance as compared to traditional single-camera configurations. Employing an array of 54 individual high-resolution cameras, each with its own 13 megapixel sensor (709 megapixels total), we uniquely focus each camera to a different plane across the curved surface of the human face in order to capture dynamic facial expressions. Post-processing methods then stitch together each synchronized set of 54 images into a composite video frame. Our multi-focus strategy overcomes the resolution and depth-of-field (DOF) limitations for capturing macroscopically curved surfaces such as the human face, while maintaining high lateral resolution. Specifically we demonstrate how our setup achieves a generally uniform lateral resolution of 26.75 +/-…
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Taxonomy
TopicsSystemic Lupus Erythematosus Research · Image Processing Techniques and Applications
