scholarly journals Convolutional Neural Network-Based Shadow Detection in Images Using Visible Light Camera Sensor

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 960 ◽  
Author(s):  
Dong Kim ◽  
Muhammad Arsalan ◽  
Kang Park
Keyword(s):  
Neural Network ◽  
Visible Light ◽  
Convolutional Neural Network ◽  
Shadow Detection ◽  
Camera Sensor

scholarly journals Recognition of Damaged Arrow-Road Markings by Visible Light Camera Sensor Based on Convolutional Neural Network

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2160 ◽  
Author(s):  
Husan Vokhidov ◽  
Hyung Hong ◽  
Jin Kang ◽  
Toan Hoang ◽  
Kang Park
Keyword(s):  
Neural Network ◽  
Visible Light ◽  
Convolutional Neural Network ◽  
Camera Sensor

scholarly journals Visible-Light Camera Sensor-Based Presentation Attack Detection for Face Recognition by Combining Spatial and Temporal Information

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 410 ◽  
Author(s):  
Dat Nguyen ◽  
Tuyen Pham ◽  
Min Lee ◽  
Kang Park
Keyword(s):  
Neural Network ◽  
Visible Light ◽  
Spatial Information ◽  
Recognition System ◽  
Image Features ◽  
Attack Detection ◽  
Temporal Information ◽  
Public Datasets ◽  
Presentation Attack Detection ◽  
Camera Sensor

Face-based biometric recognition systems that can recognize human faces are widely employed in places such as airports, immigration offices, and companies, and applications such as mobile phones. However, the security of this recognition method can be compromised by attackers (unauthorized persons), who might bypass the recognition system using artificial facial images. In addition, most previous studies on face presentation attack detection have only utilized spatial information. To address this problem, we propose a visible-light camera sensor-based presentation attack detection that is based on both spatial and temporal information, using the deep features extracted by a stacked convolutional neural network (CNN)-recurrent neural network (RNN) along with handcrafted features. Through experiments using two public datasets, we demonstrate that the temporal information is sufficient for detecting attacks using face images. In addition, it is established that the handcrafted image features efficiently enhance the detection performance of deep features, and the proposed method outperforms previous methods.

Visible light polarization image desmogging via Cycle Convolutional Neural Network

2021 ◽  
Author(s):  
Jingjing Zhang ◽  
Xin Zhang ◽  
Teng Li ◽  
Yuzhou Zeng ◽  
Gang Lv ◽  
...  
Keyword(s):  
Neural Network ◽  
Visible Light ◽  
Convolutional Neural Network ◽  
Light Polarization ◽  
Polarization Image
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