Transparent Object Detection Using Convolutional Neural Network

被引:16
|
作者
Khaing, May Phyo [1 ,2 ]
Masayuki, Mukunoki [2 ]
机构
[1] Univ Technol Yatanarpon Cyber City, Yatanarpon Cyber City, Myanmar
[2] Univ Miyazaki, Grad Sch Engn, Miyazaki, Japan
关键词
Transparent object detection; Deep learning; Convolutional neural network;
D O I
10.1007/978-981-13-0869-7_10
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The detection of transparent object such as glass in the image is recently popular in computer vision researches. Among the various tasks of detecting objects in images, it is not an easy task to detect the presence of transparent objects in the image. The detection of transparent objects is very difficult to perform using classical computer vision algorithms since the appearance of transparent objects dramatically depends on its background and illumination conditions. In addition to the popularity of transparent object detection, deep learning is also giving high performance in object detection tasks. In this paper, we apply one of the Convolutional Neural Network called Single Shot MultiBox Detector (SSD) for transparent object detection task and evaluate the performance of the system. The results show that the application of deep learning method in detection of transparent objects can successfully perform the detection of transparent objects in images.
引用
收藏
页码:86 / 93
页数:8
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