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
Real-Time High Dynamic Range Texture Mapping
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Geometric and Photometric Registration for Real-Time Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
ACM SIGGRAPH 2003 Papers
Photorealistic rendering for augmented reality using environment illumination
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Extending Dynamic Range of Two Color Images under Different Exposures
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Direct HDR capture of the sun and sky
AFRIGRAPH '04 Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
View Dependent Enhancement of the Dynamic Range of Video
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
A reality check for tone-mapping operators
ACM Transactions on Applied Perception (TAP)
Hi-index | 0.00 |
This paper describes photometric registration for augmented reality (AR) using a high-dynamic-range (HDR) image. In photorealistic AR, estimating the lighting environment of virtual objects is difficult because of low dynamic range cameras. In order to overcome this problem, we propose a method that estimates the lighting environment from an HDR image and renders virtual objects using an HDR environment map. Virtual objects are overlaid in real-time by adjusting the dynamic range of the rendered image with tone mapping according to the exposure time of the camera. The HDR image is generated from multiple images captured with various exposure times. We have found through experimentation that the updating rate is improved by effectively limiting the dynamic range, depending on the exposure time. We have verified the effect of limiting the dynamic range on the reality of virtual objects.