Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Ghorbani, Nima"'
Autor:
Ghorbani, Nima, Black, Michael J.
Marker-based optical motion capture (mocap) is the "gold standard" method for acquiring accurate 3D human motion in computer vision, medicine, and graphics. The raw output of these systems are noisy and incomplete 3D points or short tracklets of poin
Externí odkaz:
http://arxiv.org/abs/2110.04431
Autor:
Li, Ci, Ghorbani, Nima, Broomé, Sofia, Rashid, Maheen, Black, Michael J., Hernlund, Elin, Kjellström, Hedvig, Zuffi, Silvia
In this paper we present our preliminary work on model-based behavioral analysis of horse motion. Our approach is based on the SMAL model, a 3D articulated statistical model of animal shape. We define a novel SMAL model for horses based on a new temp
Externí odkaz:
http://arxiv.org/abs/2106.10102
Autor:
Watson, P. J., author, Chen, Zhuo Job, author, Morris, Ronald J., author, Ghorbani, Nima, author
Publikováno v:
Research in the Social Scientific Study of Religion. 29:377-400
Autor:
Ghorbani, Nima, author, Watson, P. J., author, Tavakoli, Fazlollaha, author, Chen, Zhuo Job, author
Publikováno v:
Research in the Social Scientific Study of Religion. 29:303-328
Training computers to understand, model, and synthesize human grasping requires a rich dataset containing complex 3D object shapes, detailed contact information, hand pose and shape, and the 3D body motion over time. While "grasping" is commonly thou
Externí odkaz:
http://arxiv.org/abs/2008.11200
Autor:
Watson, P. J., author, Chen, Zhuo Job, author, Morris, Ronald J., author, Ghorbani, Nima, author
Publikováno v:
Research in the Social Scientific Study of Religion. 28:22-51
Autor:
Pavlakos, Georgios, Choutas, Vasileios, Ghorbani, Nima, Bolkart, Timo, Osman, Ahmed A. A., Tzionas, Dimitrios, Black, Michael J.
To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. To achieve this, we use thousands of 3D scans to train a new, unified, 3
Externí odkaz:
http://arxiv.org/abs/1904.05866
Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion. While
Externí odkaz:
http://arxiv.org/abs/1904.03278
Autor:
Ghorbani, Nima, author, Watson, P.J., author, Tavakoli, Fazlollah, author, Chen, Zhuo Job, author
Publikováno v:
Research in the Social Scientific Study of Religion. 27:68-93