Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Syu, Jia-Hao | en_US |
dc.contributor.author | Cho, Shih-Hsuan | en_US |
dc.contributor.author | Wang, Sheng-Jyh | en_US |
dc.contributor.author | Wang, Li-Chun | en_US |
dc.date.accessioned | 2019-08-02T02:24:19Z | - |
dc.date.available | 2019-08-02T02:24:19Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.isbn | 978-3-319-94211-7; 978-3-319-94210-0 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1007/978-3-319-94211-7_28 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/152463 | - |
dc.description.abstract | In this paper, we propose an iterative contraction and merging framework (ICM) for semantic segmentation in indoor scenes. Given an input image and a raw depth image, we first derive the dense prediction map from a convolutional neural network (CNN) and a normal vector map from the depth image. By combining the RGB-D image with these two maps, we can guide the ICM process to produce a more accurate hierarchical segmentation tree in a bottom-up manner. After that, based on the hierarchical segmentation tree, we design a decision process which uses the dense prediction map as a reference to make the final decision of semantic segmentation. Experimental results show that the proposed method can generate much more accurate object boundaries if compared to the state-of-the-art methods. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Convolutional neural network | en_US |
dc.subject | Iterative contraction and merging | en_US |
dc.subject | RGB-D image | en_US |
dc.subject | Semantic segmentation | en_US |
dc.title | Semantic Segmentation of Indoor-Scene RGB-D Images Based on Iterative Contraction and Merging | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1007/978-3-319-94211-7_28 | en_US |
dc.identifier.journal | IMAGE AND SIGNAL PROCESSING (ICISP 2018) | en_US |
dc.citation.volume | 10884 | en_US |
dc.citation.spage | 252 | en_US |
dc.citation.epage | 261 | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | 電信工程研究所 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.contributor.department | Institute of Communications Engineering | en_US |
dc.identifier.wosnumber | WOS:000469336800028 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |