Enhanced Self-Perception in Mixed Reality: Egocentric Arm Segmentation and Database With Automatic Labeling
In this study, we focus on the egocentric segmentation of arms to improve self-perception in Augmented Virtuality (AV). The main contributions of this work are: i) a comprehensive survey of segmentation algorithms for AV; ii) an Egocentric Arm Segmentation Dataset (EgoArm), composed of more than 10,...
Main Authors: | Ester Gonzalez-Sosa, Pablo Perez, Ruben Tolosana, Redouane Kachach, Alvaro Villegas |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9152989/ |
Similar Items
-
Multimodal Egocentric Analysis of Focused Interactions
by: Sophia Bano, et al.
Published: (2018-01-01) -
Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D Model Visualization Platform Using Augmented and Virtual Reality
by: Santiago González Izard, et al.
Published: (2020-05-01) -
Coarse-to-fine online learning for hand segmentation in egocentric video
by: Ying Zhao, et al.
Published: (2018-04-01) -
Real-Time Information Fusion System Implementation Based on ARM-Based FPGA
by: Yu-Hsiang Tsai, et al.
Published: (2023-07-01) -
Person Reidentification Using Multiple Egocentric Views
by: Chakraborty, Anirban, et al.
Published: (2017)