Convolutional Neural Network based Face detection

被引：0
|
作者：
Mukherjee, Subham [1 ]
Das, Ayan [1 ]
Saha, Sumalya [1 ]
Bhunia, Ayan Kumar [1 ]
Lahiri, Sounak [1 ]
Konwer, Aishik [1 ]
Chakraborty, Arindam [1 ]
机构：
[1] Inst Engn & Management, Kolkata, India
来源：
2017 1ST INTERNATIONAL CONFERENCE ON ELECTRONICS, MATERIALS ENGINEERING & NANO-TECHNOLOGY (IEMENTECH) | 2017年
关键词：
Hand-crafted feature; Neural Network; Face detection; Convolutional;
D O I：
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：
In this paper, we discuss and analyze two different paradigm of techniques for face detection in images containing human. We discuss the formulation for both the methods, i.e., using hand-crafted features followed by training a simple classifier and an entirely modern approach of learning features from data using neural network. We discussed the theoretical advantages of the special kind of neural network we used, i.e., Convolutional Neural Network. Lastly we ran both the methods to FDDB face detection dataset and provided some qualitative results.
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页数：5
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