A PROBABILISTIC FRAMEWORK FOR NEURAL NETWORK FACIAL FEATURE LOCATION

被引：0
|
作者：
WAITE, J
VINCENT, JM
机构：
来源：
BT TECHNOLOGY JOURNAL | 1992年 / 10卷 / 03期
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暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The particular interest of this paper is in the location of objects within visual scenes using the multilayer perceptron neural network, e. g. facial features such as the eyes, nose and mouth within human faces. It is shown that by using a probabilistic interpretation of the neural network, and modelling the feature sought as a structured assembly of micro-features, a location system can be constructed that is more robust than location using the feature as a single entity.
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页码：20 / 29
页数：10
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