Distributed Face Recognition via Consensus on SE(3) - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

Distributed Face Recognition via Consensus on SE(3)

Abstract

We consider the problem of distributed face recognition in a calibrated camera sensor network. We assume that each camera is given a small and possibly different training set of face images taken under varying viewpoint, expression, and illumination conditions. Each camera can estimate the pose and identity of a new face using classical techniques such as Eigenfaces or Tensorfaces combined with a simple classifier. However, the pose estimates obtained by a single camera could be very poor, due to limited computational resources, impoverished training sets, etc., which could lead to poor recognition results. Our key contribution is to propose a distributed face recognition algorithm in which neighboring cameras share their individual estimates of the pose in order to achieve a “consensus” on the face pose. For this purpose, we use a provably convergent distributed consensus algorithm on SE(3) that estimates the global Karcher mean of the face pose in a distributed fashion. Experiments on the Weizmann database show that our algorithm effectively improves the local pose estimates, and achieves the performance of centralized face recognition algorithms using only local processing.
Fichier principal
Vignette du fichier
A35CR.pdf (633.11 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00325387 , version 1 (29-09-2008)

Identifiers

  • HAL Id : inria-00325387 , version 1

Cite

Roberto Tron, René Vidal. Distributed Face Recognition via Consensus on SE(3). The 8th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras - OMNIVIS, Rahul Swaminathan and Vincenzo Caglioti and Antonis Argyros, Oct 2008, Marseille, France. ⟨inria-00325387⟩

Collections

OMNIVIS2008
144 View
85 Download

Share

Gmail Facebook X LinkedIn More