Abstract
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.
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Khaing, M.P., Masayuki, M. (2019). Transparent Object Detection Using Convolutional Neural Network. In: Zin, T., Lin, JW. (eds) Big Data Analysis and Deep Learning Applications. ICBDL 2018. Advances in Intelligent Systems and Computing, vol 744. Springer, Singapore. https://doi.org/10.1007/978-981-13-0869-7_10
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DOI: https://doi.org/10.1007/978-981-13-0869-7_10
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