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NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images
Through this pipeline, we create a novel dataset NToP570K (NeRF-powered Top-view human Pose dataset for fisheye cameras with over 570 thousand images), and conduct an extensive evaluation of its efficacy in enhancing neural networks for 2D and 3D top-view human pose estimation.
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey
A large field-of-view fisheye camera allows for capturing a large area with minimal numbers of cameras when they are mounted on a high position facing downwards.
Human Pose Estimation in Monocular Omnidirectional Top-View Images
In our work we propose a new dataset for training and evaluation of CNNs for the task of keypoint detection in omnidirectional images.
OmniPD: One-Step Person Detection in Top-View Omnidirectional Indoor Scenes
To enhance the fine-tuning process, we add a subset of HDA Person dataset and a subset of PIROPOdatabase and reduce the number of perspective images to PASCAL VOC07.
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System
As for the pose tracker, we propose a visual odometry system fusing both the feature matching and the virtual LiDAR scan matching results.
