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Communication Dans Un Congrès Année : 2008

Robust 3D face tracking on unknown users with dynamical active models

Dianle Zhou
  • Fonction : Auteur
  • PersonId : 981255
Patrick Horain

Résumé

The Active Appearance Models and the derived Active Models (AM) allow to robustly track the face of a single user that was previously learnt, but works poorly with multiple or unknown users. Our research aims at improving the tracking robustness by learning from video databases. In this paper, we study the relation between the face texture and the parameter gradient matrix, and propose a statistical approach to dynamically fit the AM to unknown users by estimating the gradient and update matrices from the face texture. We have implemented this algorithm for real time face tracking and experimentally demonstrate its robustness when tracking multiple or unknown users' faces

Dates et versions

hal-01373184 , version 1 (28-09-2016)

Identifiants

Citer

Dianle Zhou, Patrick Horain. Robust 3D face tracking on unknown users with dynamical active models. MMM 2009 : 15th International Multimedia Modeling Conference : Advances in multimedia modeling, Jan 2009, Sophia-Antipolis, France. pp.74 - 84, ⟨10.1007/978-3-540-92892-8_9⟩. ⟨hal-01373184⟩
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