Abstract
Traditional shadow maps [Williams 1978] suffer from two main issues, aliasing errors and depth bias problems. We present a novel algorithm, the reconstructable geometry shadow maps (RGSM), as a solution to both problems. It is capable of producing sub-pixel depth accuracy in the camera view and thus reduces two categories of aliasing errors, the perspective aliasing errors and the projective aliasing errors. This goal is achieved by using the depth values faithfully reconstructed from the corresponding occluding triangles instead of taking point samples from the depth map. The experimental result also shows RGSM requires a much smaller depth bias value than other shadow mapping techniques.
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