Illumination estimation from shadow and incomplete object shape captured by an RGB-D camera

Takuya Ikeda, Yuji Oyamada, Maki Sugimoto, Hideo Saito

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

3 Citations (Scopus)

Abstract

Optical consistency between the real world and the virtual objects is one of the important issues in Augmented Reality (AR). This paper proposes a method to estimate illuminations from an object shadow and incomplete object shape information captured by an RGB-D camera. The environmental illumination can be estimated without any prior knowledge of the object shape. The radiance of each light source is computed by solving linear equations derived from color and depth images. Since a priori knowledge of object shape is not necessary, we can flexibly use/combine any objects. Thus, we can use/combine multiple objects in the target scene to increase the accuracy and flexibility. Experimental results show the characteristics of our proposed method.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages165-169
Number of pages5
Publication statusPublished - 2012 Dec 1
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: 2012 Nov 112012 Nov 15

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other21st International Conference on Pattern Recognition, ICPR 2012
CountryJapan
CityTsukuba
Period12/11/1112/11/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Illumination estimation from shadow and incomplete object shape captured by an RGB-D camera'. Together they form a unique fingerprint.

  • Cite this

    Ikeda, T., Oyamada, Y., Sugimoto, M., & Saito, H. (2012). Illumination estimation from shadow and incomplete object shape captured by an RGB-D camera. In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 165-169). [6460098] (Proceedings - International Conference on Pattern Recognition).