2 research outputs found
Duodepth: Static Gesture Recognition Via Dual Depth Sensors
Static gesture recognition is an effective non-verbal communication channel
between a user and their devices; however many modern methods are sensitive to
the relative pose of the user's hands with respect to the capture device, as
parts of the gesture can become occluded. We present two methodologies for
gesture recognition via synchronized recording from two depth cameras to
alleviate this occlusion problem. One is a more classic approach using
iterative closest point registration to accurately fuse point clouds and a
single PointNet architecture for classification, and the other is a dual
Point-Net architecture for classification without registration. On a manually
collected data-set of 20,100 point clouds we show a 39.2% reduction in
misclassification for the fused point cloud method, and 53.4% for the dual
PointNet, when compared to a standard single camera pipeline.Comment: 26th International Conference on Image Processin