no code implementations • CVPR 2016 • Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina, Anastasios Roussos, Stefanos Zafeiriou
In this paper, we show for the first time, to the best of our knowledge, that it is possible to construct SDMs by putting object shapes in dense correspondence.
no code implementations • 2 Jan 2016 • Joan Alabort-i-Medina, Stefanos Zafeiriou
Active Appearance Models (AAMs) are one of the most popular and well-established techniques for modeling deformable objects in computer vision.
no code implementations • CVPR 2015 • Joan Alabort-i-Medina, Stefanos Zafeiriou
In this paper we try to marry the previous two frameworks into a unified one that potentially combines the advantages of both.
no code implementations • CVPR 2015 • Epameinondas Antonakos, Joan Alabort-i-Medina, Stefanos Zafeiriou
Inspired by the tree structure used in PS, the proposed Active Pictorial Structures (APS) model the appearance of the object using multiple graph-based pairwise normal distributions (Gaussian Markov Random Field) between the patches extracted from the regions around adjacent landmarks.
no code implementations • CVPR 2014 • Joan Alabort-i-Medina, Stefanos Zafeiriou
In this paper we provide the first, to the best of our knowledge, Bayesian formulation of one of the most successful and well-studied statistical models of shape and texture, i. e.