Occlusion-capable optical see-through head-mounted displays (OC-OSTHMDs) overcome the deficiency of semi-transparent virtual images by selectively cutting off light emitted from the physical background, considerably improving the graphics performance of augmented reality (AR). Existing OC-OSTHMDs achieve compact form factors by compressing the optical system based on the modulation of light polarization. However, the wavelength sensitivity of polarizing optical elements (POEs) causes color aberration in the see-through view. In this paper, we propose the spectrum- tuning method that mitigates color aberration of the see-through view caused by the wavelength sensitivity of OC-OSTHMDs. The methods operate on a spectrum-based color perception model that formulates the variation of the visible spectrum through OC-OSTHMDs. The optimization is performed globally, requiring minimal computation at runtime. A bench-top prototype of the OC-OSTHMD was built to validate these methods. Experimental results demonstrate that the spectrum-tuning method reduces the color difference by 18.1%. Additionally, the advantages of OC-OSTHMDs in presenting fluid animations in AR scenarios are demonstrated based on the prototype and a multi-buffer mask synthesis method.

We present a novel particle-grid scheme for simulating bubble and foam flow. At the core of our approach lies a particle representation that combines the computational nature of moving least-squares particles and particle level-set methods. Specifically, we assign a dedicated particle system to each individual bubble, enabling accurate tracking of its interface evolution and topological changes in a foaming fluid system. The particles within each bubble's particle system serve dual purposes. First, they function as a surface discretization, allowing for the solution of surfactant flow physics on the bubble's membrane. Additionally, these particles act as interface trackers, facilitating the evolution of the bubble's shape and topology within the multiphase fluid domain. The combination of particle systems from all bubbles contributes to the generation of an unsigned level-set field, further enhancing the simulation of coupled multiphase flow dynamics. By seamlessly integrating our particle representation into a multiphase, volumetric flow solver, our method enables the simulation of a broad range of intricate bubble and foam phenomena. These phenomena exhibit highly dynamic and complex structural evolution, as well as interfacial flow details.