Robust Shadow Maps for Large Environments
نویسنده
چکیده
One of the most demanding challenges for real-time shadow algorithms is their application to large-scale, polygon-rich and dynamic environments. In this paper, we discuss the major problems encountered in applying shadow maps to such an environment and provide practical and robust solutions to the appearing problems. We tackle projection aliasing with the aid of an eye space blur. We compare the major biasing methods to remove incorrect self-shadowing of polygons. Finally we are providing some advancements to the recently published light space perspective shadow mapping method to resolve projection aliasing problems.
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