Colour descriptors for tracking in spatial augmented reality

Thijs Kooi, Francois De Sorbier, Hideo Saito

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Augmented Reality is an emerging research field, that aims for the composition of real and virtual imagery, by means of a camera and display device. Spatial augmented reality employs data projectors to augment the real world. In this setting, traditional tracking methods fall short due to the interference caused by the projector. Recent works assume a calibration process to model the projector and assume continuity in movement of the object being tracked. In this paper we present a tracking-by-detection system that does not require such a procedure and makes use of natural features represented by SIFT descriptors. We evaluate a set of photometric invariants that have previously been shown to improve the performance of object recognition, added to the descriptor to reduce the influence of the projector. We evaluate the descriptors based on precision-recall under projector distortion and the total system based on its tracking performance. Results show tracking is significantly more precise using one of the invariants.

本文言語English
ホスト出版物のタイトルComputer Vision - ACCV 2012 International Workshops, Revised Selected Papers
ページ387-399
ページ数13
PART 2
DOI
出版ステータスPublished - 2013 4 15
イベント11th Asian Conference on Computer Vision, ACCV 2012 - Daejeon, Korea, Republic of
継続期間: 2012 11 52012 11 9

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
7729 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other11th Asian Conference on Computer Vision, ACCV 2012
CountryKorea, Republic of
CityDaejeon
Period12/11/512/11/9

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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