RGB-D Fingertip Detection Ego frames. The dataset has been collected from 3 subjects. For each subject, the acquisition was performed in uncontrolled environments and under different lighting conditions measured in lumens. In total the dataset contains 10 videos, each acquired at 30 fps and lasting 10 seconds, for a total of 300 frames for each video.

RGBD-FDego

Brancati N;Caggianese G;Frucci M;Gallo L;Neroni P
2016

Abstract

RGB-D Fingertip Detection Ego frames. The dataset has been collected from 3 subjects. For each subject, the acquisition was performed in uncontrolled environments and under different lighting conditions measured in lumens. In total the dataset contains 10 videos, each acquired at 30 fps and lasting 10 seconds, for a total of 300 frames for each video.
2016
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Fingertip Detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/326777
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