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http://dx.doi.org/10.7472/jksii.2018.19.3.43

Indoor Space Recognition using Super-pixel and DNN  

Kim, Kisang (School of Media, Soongsil University)
Choi, Hyung-Il (School of Media, Soongsil University)
Publication Information
Journal of Internet Computing and Services / v.19, no.3, 2018 , pp. 43-48 More about this Journal
Abstract
In this paper, we propose an indoor-space recognition using DNN and super-pixel. In order to recognize the indoor space from the image, segmentation process is required for dividing an image Super-pixel is performed algorithm which can be divided into appropriate sizes. In order to recognize each segment, features are extracted using a proposed method. Extracted features are learned using DNN, and each segment is recognized using the DNN model. Experimental results show the performance comparison between the proposed method and existing algorithms.
Keywords
Deep Learning; Super-pixel; Indoor-space recognition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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