Furniture layout AR application using floor plans based on planar object tracking

Taiki Fuji, Yasue Mitsukura, Toshio Moriya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a new approach of Augmented Reality (AR) system for the furniture layout based on a planar object tracking. The planar object tracking methods using natural features are effective methods to estimate the object's pose and position in the AR applications because we are able to use the natural images. However, most of the feature descriptors have a lot of matching procedure. Therefore, by using an efficient feature point descriptor which is very fast both to build and to match, we track the planar objects. Especially, we use floor plans as the planar objects, and then furniture CG models are overlaid on the floor plans. This is because the floor plans are presented in the selection of rooms for rent or buy. Therefore, this system helps borrowers and buyers to select some mansion or apartment rooms. In this system, we propose to use human whistle sounds and color rectangles recognition to operate the furniture layout. In order to show the effectiveness of our proposed system, we perform some planar object tracking experiments when we applied the proposed system to some floor plans.

Original languageEnglish
Title of host publication2012 IEEE RO-MAN
Subtitle of host publicationThe 21st IEEE International Symposium on Robot and Human Interactive Communication
Pages670-675
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 14
Event2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France
Duration: 2012 Sep 92012 Sep 13

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
CountryFrance
CityParis
Period12/9/912/9/13

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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