Search Results for author: Charles Malleson

Found 4 papers, 0 papers with code

Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data

no code implementations20 Jun 2024 Moira Shooter, Charles Malleson, Adrian Hilton

To address this, we created 3DDogs-Wild, a naturalised version of the dataset where the optical markers are in-painted and the subjects are placed in diverse environments, enhancing its utility for training RGB image-based pose detectors.

Animal Pose Estimation Benchmarking +1

SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

no code implementations31 Jul 2021 Moira Shooter, Charles Malleson, Adrian Hilton

Estimating the pose of animals can facilitate the understanding of animal motion which is fundamental in disciplines such as biomechanics, neuroscience, ethology, robotics and the entertainment industry.

2D Pose Estimation Animal Pose Estimation

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