1 code implementation • 29 Apr 2023 • Nikolaos Vasilikopoulos, Nikos Kolotouros, Aggeliki Tsoli, Antonis Argyros
Existing methods ignore the ambiguities of the reconstruction and provide a single deterministic estimate for the 3D pose.
Ranked #49 on 3D Human Pose Estimation on 3DPW
no code implementations • 12 Jul 2021 • Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis, Aggeliki Tsoli, Antonis A. Argyros
The amount and quality of datasets and tools available in the research field of hand pose and shape estimation act as evidence to the significant progress that has been made. However, even the datasets of the highest quality, reported to date, have shortcomings in annotation.
1 code implementation • 27 Mar 2021 • Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez, Nikolaos Kyriazis, Sergio Orts-Escolano, Iason Oikonomidis, Alberto Garcia-Garcia, Aggeliki Tsoli, Jose Garcia-Rodriguez, Antonis Argyros
Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands.
no code implementations • ECCV 2018 • Aggeliki Tsoli, Antonis A. Argyros
We present a novel method that is able to track a complex deformable object in interaction with a hand.
no code implementations • IEEE Winter Conference on Applications of Computer Vision 2014 • Aggeliki Tsoli, Matthew Loper, Michael J. Black
Then, we extract features from the registered model (rather than from the scan); these include, limb lengths, circumferences, and statistical features of global shape.