Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorial
Abstract
Automated human gesture recognition is receiving significant research interest, with applications ranging from novel acquisition techniques to algorithms, data processing, and classification methodologies. This tutorial presents an overview of the fundamental components and basics of the current 3D optical image acquisition technologies for gesture recognition, including the most promising algorithms. Experimental results illustrate some examples of 3D integral imaging, which are compared to conventional 2D optical imaging. Examples of classifying human gestures under normal and degraded conditions, such as low illumination and the presence of partial occlusions, are provided. This tutorial is aimed at an audience who may or may not be familiar with gesture recognition approaches, current 3D optical image acquisition techniques, and classification algorithms and methodologies applied to human gesture recognition.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 14, 2020
- Source ID
- 10.1364/aop.390929
Entities
People
- Bahram Javidi
- Filiberto Pla
- Gokul Krishnan
- José Martínez Sotoca
- Manuel Martínez-Corral
- Pedro Latorre-carmona
- Rubén Fernández-beltrán
- Xin Shen
Organizations
- Air Force Office of Scientific Research
- Generalitat Valenciana
- Ministry of Science, Innovation and Universities
- Office of Naval Research