Photorealistic rendering with all frequency lights and materials in real time is a difficult problem. The environment lights and complex materials can be approximated with spherical harmonics defined in spherical Fourier domain. Then, low frequency components of complex environment lights and materials are projected on just a few bases of spherical harmonics, which makes real-time rendering possible in low dimensional space. However, high frequency components, such as small bright light and glossy reflection, are filtered out during the spherical harmonics projection. In the other hand, point lights are efficient to represent high frequency lights, while they are inefficient for low frequency lights, such as smooth area lights. Combining spherical harmonics and point lights approaches, we can render a scene in real time, preserving both of low and high frequency effects.
KEYWORDS: Mobile devices, System on a chip, Image quality, Volume rendering, Light, Light sources, 3D image processing, Chemical elements, Visibility, OpenGL
We propose a novel method for real-time global illumination on mobile devices. Our approach is based on instant radiosity, which uses a sequence of virtual point lights in order to represent the e ect of indirect illumination. Our rendering process consists of three stages. With the primary light, the rst stage generates a local illumination with the shadow map on GPU The second stage of the global illumination uses the re ective shadow map on GPU and generates the sequence of virtual point lights on CPU. Finally, we use the splatting method of Dachsbacher et al 1 and add the indirect illumination to the local illumination on GPU. With the limited computing resources in mobile devices, a small number of virtual point lights are allowed for real-time rendering. Our approach uses the multi-resolution sampling method with 3D geometry and attributes simultaneously and reduce the total number of virtual point lights. We also use the hybrid strategy, which collaboratively combines the CPUs and GPUs available in a mobile SoC due to the limited computing resources in mobile devices. Experimental results demonstrate the global illumination performance of the proposed method.
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