A montage method: the overlaying of the computer generated images onto a background photograph
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Multiple Illuminant Direction Detection with Application to Image Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of multiple directional light sources for synthesis of augmented reality images
Graphical Models - Special issue on Pacific graphics 2002
Estimation of Dynamic Light Changes in Outdoor Scenes Without the use of Calibration Objects
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
ACM SIGGRAPH 2007 papers
Light source estimation of outdoor scenes for mixed reality
The Visual Computer: International Journal of Computer Graphics
Webcam clip art: appearance and illuminant transfer from time-lapse sequences
ACM SIGGRAPH Asia 2009 papers
Computer Animation and Virtual Worlds - CASA' 2010 Special Issue
On-line Illumination Estimation of Outdoor Scenes Based on Area Selection for Augmented Reality
CADGRAPHICS '11 Proceedings of the 2011 12th International Conference on Computer-Aided Design and Computer Graphics
Editorial: Foreword to the special section on computer graphics in China
Computers and Graphics
Render synthetic fog into interior and exterior photographs
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Basis image decomposition of outdoor time-lapse videos
The Visual Computer: International Journal of Computer Graphics
| Hi-index | 0.00 |
In augmented reality, consistent illumination is an important aspect of integrating a virtual object into a video of a real scene. In this paper, we propose a novel image-based framework to estimate online the dynamically changing illumination parameters of outdoor video sequences captured by a fixed or pure rotation camera. Unlike previous approaches, which either require knowledge of the scene geometry or significant storage to preserve time- and view-dependent basis images or statistical parameters, our approach requires a very simple interaction at the initialization stage: a few brushes are used to select areas with a specified normal surface, and these areas are used to calculate the sunlight parameters. Additional areas with the same normal parameters will be detected automatically, and an optimization procedure is applied to ensure the robustness and precision of our estimation. Our new approach adapts to videos of the same scene with varied sun positions and camera panning. The experimental results demonstrate the effectiveness and flexibility of our proposed approach.