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 language | English |
|---|---|
| Journal | Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers |
| Volume | 67 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2013 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Media Technology
- Computer Science Applications
Cite this
Illumination estimation from object shadow and incomplete object shape information captured by an RGB-D camera. / Ikeda, Takuya; Oyamada, Yuji; Sugimoto, Maki; Saito, Hideo.
In: Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, Vol. 67, No. 4, 2013.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Illumination estimation from object shadow and incomplete object shape information captured by an RGB-D camera
AU - Ikeda, Takuya
AU - Oyamada, Yuji
AU - Sugimoto, Maki
AU - Saito, Hideo
PY - 2013
Y1 - 2013
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84875799807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875799807&partnerID=8YFLogxK
U2 - 10.3169/itej.67.J124
DO - 10.3169/itej.67.J124
M3 - Article
AN - SCOPUS:84875799807
VL - 67
JO - Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
JF - Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
SN - 1342-6907
IS - 4
ER -