SASE: RGB-Depth Database for Human Head Pose Estimation
Abstract
Head pose estimation has become very important in relation to facial and emotional recognition, as well as in human-computer interaction. There is an ultimate need for a 3D head pose database in order to develop head pose estimation methods using RGB and depth information. There are a few available datasets, such as Biwi Kinect head pose database, which is composed using Kinect 1, but it offers low-quality depth information. In this paper, a new 3D head database, SASE, is introduced. The data in SASE is acquired with Microsoft Kinect 2 camera, including RGB and depth information. The SASE database is composed by a total of 30000 frames with annotated markers. The samples include 32 male and 18 female subjects. For each person a large sample of head poses are included, within the bounds of yaw from $-45$ to 45, pitch $-75$ to 75 and roll $-45$ to $45^\circ $ of rotation around each axis. The details of acquiring the database and its characteristics are explained in detail.
Cite
Text
Lüsi et al. "SASE: RGB-Depth Database for Human Head Pose Estimation." European Conference on Computer Vision, 2016. doi:10.1007/978-3-319-49409-8_26Markdown
[Lüsi et al. "SASE: RGB-Depth Database for Human Head Pose Estimation." European Conference on Computer Vision, 2016.](https://mlanthology.org/eccv/2016/lusi2016eccv-sase/) doi:10.1007/978-3-319-49409-8_26BibTeX
@inproceedings{lusi2016eccv-sase,
title = {{SASE: RGB-Depth Database for Human Head Pose Estimation}},
author = {Lüsi, Iiris and Escalera, Sergio and Anbarjafari, Gholamreza},
booktitle = {European Conference on Computer Vision},
year = {2016},
pages = {325-336},
doi = {10.1007/978-3-319-49409-8_26},
url = {https://mlanthology.org/eccv/2016/lusi2016eccv-sase/}
}