Semantic 3D indoor scene enhancement using guide words

Zhang, Suiyun, Han, Zhizhong, Martin, Ralph R. and Zhang, Hui 2017. Semantic 3D indoor scene enhancement using guide words. Visual Computer 33 (6-8) , 925–935. 10.1007/s00371-017-1394-5

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Abstract

We propose a novel framework for semantically enhancing a 3D indoor scene in agreement with a user-provided guide word. To do so, we make changes to furniture colors and place small objects in the scene. The relevance of specific furniture colors and small objects to each guide word is learned from a database of annotated images, taking into account both their frequency and specificity to that guide word. Enhancement suggestions are generated by optimizing a scoring function, which combines the relevance of both enhancement factors, i.e., furniture colors and small objects. During optimization, a submodular set function is adopted to ensure that a diverse set of enhancement suggestions is produced. Our experiments show that this framework can generate enhancement suggestions that are both compatible with the input guide word, and comparable to ones designed by humans.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Springer
ISSN:	0178-2789
Date of First Compliant Deposit:	3 January 2022
Last Modified:	04 Jan 2022 16:15
URI:	https://orca.cardiff.ac.uk/id/eprint/146325

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