Estimating 2D Multi-Hand Poses From Single Depth Images

Le Duan, Minmin Shen, Song Cui, Zhexiao Guo, Oliver Deussen; The European Conference on Computer Vision (ECCV) Workshops, 2018, pp. 0-0

Abstract


We present a novel framework based on Pictorial Structure (PS) models to estimate 2D multi-hand poses from depth images. Most existing single-hand pose estimation algorithms are either subject to strong assumptions or depend on a weak detector to detect the human hand. We utilize Mask R-CNN to avoid both aforementioned constraints. The proposed framework allows detection of multi-hand instances and localization of hand joints simultaneously. Our experiments show that our method is superior to existing methods.

Related Material


[pdf]
[bibtex]
@InProceedings{Duan_2018_ECCV_Workshops,
author = {Duan, Le and Shen, Minmin and Cui, Song and Guo, Zhexiao and Deussen, Oliver},
title = {Estimating 2D Multi-Hand Poses From Single Depth Images},
booktitle = {The European Conference on Computer Vision (ECCV) Workshops},
month = {September},
year = {2018}
}