Real-time video based lighting using GPU raytracing
2014 (English)In: Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014, IEEE Signal Processing Society, 2014Conference paper (Refereed)
The recent introduction of HDR video cameras has enabled the development of image based lighting techniques for rendering virtual objects illuminated with temporally varying real world illumination. A key challenge in this context is that rendering realistic objects illuminated with video environment maps is computationally demanding. In this work, we present a GPU based rendering system based on the NVIDIA OptiX framework, enabling real time raytracing of scenes illuminated with video environment maps. For this purpose, we explore and compare several Monte Carlo sampling approaches, including bidirectional importance sampling, multiple importance sampling and sequential Monte Carlo samplers. While previous work have focused on synthetic data and overly simple environment maps sequences, we have collected a set of real world dynamic environment map sequences using a state-of-art HDR video camera for evaluation and comparisons.
Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2014.
High dynamic range imaging, image synthesis, iamge based lighting
IdentifiersURN: urn:nbn:se:liu:diva-107638OAI: oai:DiVA.org:liu-107638DiVA: diva2:726212
22nd European Signal Processing Conference (EUSIPCO 2014), 1-5 September 2014, Lisbon, Portugal
FunderSwedish Foundation for Strategic Research , IISS-0081