Abstract
Human body shape can be captured with a variety of methodologies, including laser lines, structured light, photogrammetry, and millimeter waves (Daanen & Haar, 2013). However, these technologies require expensive modules and have limited ability to capture dynamic changes in body shape. Motion capture with specific markers is commonly done through camera-based motion track-ing (Windolf, Götzen, & Morlock, 2008) These systems for marker tracking are often cost prohibitive and unable to capture surface morphology. Recently, Intel released the D415 and D435 RealSense Depth Cameras, which use near-infrared structured light patterns and two infrared imagers to capture depth information at up to 90 frames per second. Purchasing a set of these cameras is more affordable than buying a dedicated motion-capture system for shape or marker tracking.
Cite
CITATION STYLE
Boppana, A., & Anderson, A. (2019). DynaMo: Dynamic Body Shape and Motion Capture with Intel RealSense Cameras. Journal of Open Source Software, 4(41), 1466. https://doi.org/10.21105/joss.01466
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