Can convolution neural network (CNN) triumph in ear recognition of uniform illumination invariant?
Current deep convolution neural network (CNN) has shown to achieve superior performance on a number of computer vision tasks such as image recognition, classification and object detection. The deep network was also tested for view-invariance, robustness and illumination invariance. However, the CNN...
保存先:
主要な著者: | Jamil N., Almisreb A.A., Ariffin S.M.Z.S.Z., Md Din N., Hamzah R. |
---|---|
その他の著者: | 6603538109 |
フォーマット: | 論文 |
出版事項: |
Institute of Advanced Engineering and Science
2023
|
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Illumination-invariant ear authentication
著者:: Jamil, Nursuriati, 等
出版事項: (2014) -
Automatic ear recognition under varying illumination / Ali Abd Almisreb
著者:: Abd Almisreb, Ali
出版事項: (2012) -
Utilizing AlexNet Deep Transfer Learning for Ear Recognition
著者:: Almisreb A.A., 等
出版事項: (2023) -
Selective thermal and visible image fusion model for illumination-invariant ear recognition / Syed Mohd Zahid Syed Zainal Ariffin
著者:: Syed Zainal Ariffin, Syed Mohd Zahid
出版事項: (2020) -
Face recognition using illumination-invariant local patches
著者:: Shafie, Amir Akramin, 等
出版事項: (2014)