Augmented reality smart glasses in industrial assembly: Current status and future challenges
This article aims to provide a better understanding of Augmented Reality Smart Glasses
(ARSG) for assembly operators from two perspectives, namely, manufacturing engineering …
(ARSG) for assembly operators from two perspectives, namely, manufacturing engineering …
A survey of marker-less tracking and registration techniques for health & environmental applications to augmented reality and ubiquitous geospatial information …
A Sadeghi-Niaraki, SM Choi - Sensors, 2020 - mdpi.com
Most existing augmented reality (AR) applications are suitable for cases in which only a
small number of real world entities are involved, such as superimposing a character on a …
small number of real world entities are involved, such as superimposing a character on a …
Deep fusion transformer network with weighted vector-wise keypoints voting for robust 6d object pose estimation
One critical challenge in 6D object pose estimation from a single RGBD image is efficient
integration of two different modalities, ie, color and depth. In this work, we tackle this problem …
integration of two different modalities, ie, color and depth. In this work, we tackle this problem …
Distribution-aware single-stage models for multi-person 3D pose estimation
In this paper, we present a novel Distribution-Aware Single-stage (DAS) model for tackling
the challenging multi-person 3D pose estimation problem. Different from existing top-down …
the challenging multi-person 3D pose estimation problem. Different from existing top-down …
Mfos: Model-free & one-shot object pose estimation
Existing learning-based methods for object pose estimation in RGB images are mostly
model-specific or category based. They lack the capability to generalize to new object …
model-specific or category based. They lack the capability to generalize to new object …
[PDF][PDF] A review of 3D human pose estimation from 2D images
Human pose estimation task takes images as input and extracts a set of locations
representing the predefined body joints and the sparse connections between the joints …
representing the predefined body joints and the sparse connections between the joints …
Multi-Person Pose Regression with Distribution-Aware Single-Stage Models
Understanding human posture is a challenging topic, which encompasses several tasks, eg,
pose estimation, body mesh recovery and pose tracking. In this paper, we propose a novel …
pose estimation, body mesh recovery and pose tracking. In this paper, we propose a novel …
Efficient vision-based multi-target augmented reality in the browser
MA Al-Zoube - Multimedia Tools and Applications, 2022 - Springer
Augmented Reality (AR) has gained rising attention from both industry and academia as it
enhances the way we interact with the physical world. Compared with native AR apps …
enhances the way we interact with the physical world. Compared with native AR apps …
Opportunities for utilizing consumer grade 3D capture tools for insurance documentation
K Ponto, R Tredinnick - International Journal of Information Technology, 2022 - Springer
Recent advances in consumer technology have enabled a new means for 3D capture of real
world environments and objects through the adoption of depth sensors within tablets and …
world environments and objects through the adoption of depth sensors within tablets and …
Towards robust RGB-D human mesh recovery
We consider the problem of human pose estimation. While much recent work has focused
on the RGB domain, these techniques are inherently under-constrained since there can be …
on the RGB domain, these techniques are inherently under-constrained since there can be …