Paper Info
Title
Real Time Light Source Estimation Using a Fish-Eye Lens with ND Filters
Abstract
3D virtual objects can be augmented in the streaming data through a webcam for various purposes using a marker and AR techniques. But the augmented results without shadows it can be show nunnaturally because the illumination of the real scene does not be considered. To minimize the unnaturalness between the background and virtual object, the illumination of the background is uniformly applied to the virtual object and real object. In this paper we propose a method to estimate light source information in real time for realistic synthesis. The proposed estimation system consists of a camera, fish-eye lensand ND (Neutral Density) filters. The fish-eye lenscovers 180 degree of the real environment. Using these hemi-sphere images through the lens the direction ofthe lights can be estimated. As it considers the energy of pixels in the images the bright regions contain more light information than the other regions. To detect these regions image processing is additionally needed. But using iris of fish-eye lens and ND filters which reduce the incident light we can estimate the bright regions without additional image processing. The proposed method can estimate the light source information in real time and it can be used for an AR or VR environment to increase the naturalness.
Year
DOI
Venue
2008
10.1109/ISUVR.2008.12
ISUVR '08 Proceedings of the 2008 International Symposium on Ubiquitous Virtual Reality
Keywords
DocType
Citations 
real time light source,bright region,incident light,fish-eye lens,real time,real object,nd filters,real environment,real scene,direction ofthe light,light information,virtual object,light source information,computer vision,neutral density filters,computational modeling,neodymium,image processing,stereo vision,lenses,solid modeling,pixel,shape,lighting,virtual reality,layout,estimation,image segmentation,sections,dynamic range,augmented reality,real time systems,materials
Conference
3
PageRank 
References 
Authors
0.41
2
2
Name
Order
Citations
PageRank
Jae Doug Yoo1162.33
Kwan H. Lee214829.48