@inproceedings{44d218b47ec94b86920ce73a6a072bb0,
title = "Fast and Energy-Efficient Time-of-Flight Distance Sensing Method for 3D Object Tracking",
abstract = "We present a new energy-efficient distance sensing method for 3D object tracking with Time-of-Flight sensors. The field of 3D object tracking with 3D cameras recently gained momentum due to the advent of front-facing depth cameras in smartphones. Tracking the user's head with 3D cameras will enable novel user experiences, but can lead to power consumption issues due to the active illumination. State-of-the-art continuous-wave Time-of-Flight imaging requires at least four different phase-images, while our approach can produce 3D measurements from single phase-images. This reduces the amount of emitted light to a minimum, improves latency and enables higher framerates. As our evaluation shows, after a brief initialization phase, our method can reduce the power consumption of a Time-of-Flight system by up to 68%.",
keywords = "3d object tracking, depth sensing, face tracking, phase-images, smartphones, Time-of-Flight",
author = "Hannes Plank and Gerald Holweg and Christian Steger and Norbert Druml",
year = "2019",
month = jan,
day = "16",
doi = "10.1109/DICTA.2018.8615790",
language = "English",
series = "2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018",
publisher = "Institute of Electrical and Electronics Engineers",
editor = "Mark Pickering and Lihong Zheng and Shaodi You and Ashfaqur Rahman and Manzur Murshed and Md Asikuzzaman and Ambarish Natu and Antonio Robles-Kelly and Manoranjan Paul",
booktitle = "2018 International Conference on Digital Image Computing",
address = "United States",
note = "2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018 ; Conference date: 10-12-2018 Through 13-12-2018",
}