Spatial Similarity Measurement in Dissimilar Indoor Environments Using Semantic Features for Virtual Space Services

Hong Sukjoo (홍석주); MICHANG (장미); Urvashi Dwivedi; Valentin Porcellini; Lee Chae Seok (이채석); Ji-Hyun Lee (이지현)

Spatial Similarity Measurement in Dissimilar Indoor Environments Using Semantic Features for Virtual Space Services

The Journal of Transdisciplinary Studies
Abbr : JTS
2020, 4(1), pp.93-110
Publisher : The Society for Transdisciplinary Studies
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Received : June 24, 2020
Accepted : June 27, 2020
Published : June 30, 2020

Hong Sukjoo ¹, MICHANG ¹, Urvashi Dwivedi ¹, Valentin Porcellini ², Lee Chae Seok ¹, Ji-Hyun Lee ¹

¹한국과학기술원
²Cornell University

Candidate

ABSTRACT

In order to provide intelligent services in an indoor environment at furniture level, it is important to understand not only the physical attributes but also the semantic features of an interior space. Spatial similarity measurement is a comparison method conducted on top of a hierarchical graph representation to calculate numeric values considering quantified spatial features. Three consecutive tasks are required: indoor space modeling, user study acquiring spatial context, and spatial similarity calculation. To evaluate the effectiveness of the method, a comparison was made with the existing random sampling method. The findings surpassed the random sampling results in four experimental cases. Spatial similarity measurement is therefore capable of analyzing the spatial context with proposed similarity criteria and equations, and it also suggests the probability of local similarity of a functional space.

KEYWORDS

Indoor Representation Method, Semantic Feature, Space Comparison Criteria, Spatial Similarity Measurement

Citation status

* References for papers published after 2023 are currently being built.

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