An information-theoretic approach to combining object models

被引：2

作者：

Kruppa, H ^{[1
]}

Schiele, B ^{[1
]}

机构：

[1] ETH Zurich, Perceptual Comp & Comp Vis Grp, Zurich, Switzerland

来源：

ROBOTICS AND AUTONOMOUS SYSTEMS | 2002年 / 39卷 / 3-4期

关键词：

model combination; robust vision; mutual information;

D O I：

10.1016/S0921-8890(02)00204-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces a new method for combining different object models. By determining a configuration of the models, which maximizes their mutual information, the proposed method creates a unified hypothesis from multiple object models on the fly without prior training. To validate the effectiveness of the proposed method, experiments are conducted in which human faces are detected and localized in images by combining different face models. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：195 / 203

页数：9

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