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직선 및 Spectral Clustering을 사용한 장소 단위 영상 분류

Title
직선 및 Spectral Clustering을 사용한 장소 단위 영상 분류
Other Titles
Indoor Scene Grouping using Line Features and Spectral Clustering
Author
서일홍
Issue Date
2015-11
Publisher
대한전자공학회
Citation
2015년도 대한전자공학회 정기총회 및 추계학술대회, 2015.11, Page 415-418
Abstract
In this paper, we propose a scene grouping algorithm where each resulting group can represent certain concept of a place. We consider each scene as a set of line features and calculate similarities between scenes using a vocabulary tree and TFIDF weighting scheme. Then using the scenes as nodes and their similarities as weighted edges, a similarity graph is constructed. By cutting the sparse edge parts of this graph using spectral clustering, this graph is partitioned into Ɖ groups which correspond to Ɖ places.
URI
http://www.dbpia.co.kr/Article/NODE07105536http://hdl.handle.net/20.500.11754/28662
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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