Disambiguating Stereoscopic Transparency Using a Thaumatrope Approach.

Volume rendering is a popular visualization technique for scientific computing and medical imaging. By assigning proper transparency, it allows us to see more information inside the volume. However, because volume rendering projects complex 3D structures into the 2D domain, the resultant visualization often suffers from ambiguity and its spatial relationship could be difficult to recognize correctly, especially when the scene or setting is highly transparent.

Gradient-free visualization with multiple light approximations.

Gradient computing suffers the noise and ill-definition problems such that local shading is not sufficient for medical imaging to get accurate visualization. However, the current global solutions are either time-consuming or limited to single light source that easily leads misinterpretation. This paper introduces a gradient-free approach to interactively approximate the effects of multiple lights for transparent volume data.