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

Takuya Ikeda, Yuji Oyamada, Maki Sugimoto, Hideo Saito

Research output: Contribution to journalArticle

Abstract

Optical consistency between the real world and virtual objects is an important issue in augmented reality (AR). We propose a method to estimate illumination 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 prior knowledge of the 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. Our experimental results show the characteristics of our proposed method.

Original languageEnglish
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume67
Issue number4
DOIs
Publication statusPublished - 2013

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Lighting
Cameras
Augmented reality
Linear equations
Light sources
Color

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Media Technology
  • Computer Science Applications

Cite this

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AB - Optical consistency between the real world and virtual objects is an important issue in augmented reality (AR). We propose a method to estimate illumination 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 prior knowledge of the 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. Our experimental results show the characteristics of our proposed method.

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