EBGM vs subspace projection for face recognition

被引:0
作者
Stergiou, Andreas [1 ]
Pnevmatikakis, Aristodemos [1 ]
Polymenakos, Lazaros [1 ]
机构
[1] Athens Informat Technol, 19-5 Km Markopoulou Ave,POB 68, Athens, Greece
来源
VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2 | 2006年
关键词
human-machine interfaces; computer vision; face recognition;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Autonomic human-machine interfaces need to determine the user of the machine in a non-obtrusive way. The identification of the user can be done in many ways, using RF ID tags, the audio stream or the video stream to name a few. In this paper we focus on the identification of faces from the video stream. In particular, we compare two different approaches, linear subspace projection from the appearance-based methods, and Elastic Bunch Graph Matching from the feature-based. Since the intended application is restricted to indoor multi-camera setups with collaborative users, the deployment scenarios of the recognizer are easily identified. The comparison of the methods is done using a common test-bed for both methods. The test-bed is exhaustive for the deployment scenarios we need to consider, leading to the identification of deployment scenarios for which each method is preferable.
引用
收藏
页码:131 / +
页数:2
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