标题： BundleFit：增强现实头戴式显示器的显示和透视模型 显示英文标题

标题： BundleFit: Display and See-Through Models for Augmented Reality Head-Mounted Displays

摘要： 头戴式显示器是增强现实的关键组件，结合了复杂的显示和透视光学行为的光学系统。 计算建模这些光学行为需要满足三个关键标准：准确性、效率和可访问性。 近年来，提出了各种方法来建模显示和透视光学，这些方法大致可分为黑箱模型和白箱模型。 然而，这两类方法都存在显著的限制，阻碍了它们在商业应用中的采用。 为了克服这些挑战，我们利用了光学硬件之外的光线束特性的先验知识，并提出了一种基于束拟合的新模型。 在此方法中，光学系统内的光线路径被视为一个黑箱，而在光学系统外部求解一个轻量级优化问题以拟合光线束。 这种方法有效解决了黑箱模型的准确性问题和白箱模型的可访问性问题。 尽管我们的模型涉及运行时优化，但这通常不是问题，因为它可以使用前一次查询的解来初始化当前查询的优化。 我们通过仿真和真实硬件实验评估了所提出方法的性能，证明了其有效性。 显示英文摘要

摘要： The head-mounted display is a vital component of augmented reality, incorporating optics with complex display and see-through optical behavior. Computationally modeling these optical behaviors requires meeting three key criteria: accuracy, efficiency, and accessibility. In recent years, various approaches have been proposed to model display and see-through optics, which can broadly be classified into black-box and white-box models. However, both categories face significant limitations that hinder their adoption in commercial applications. To overcome these challenges, we leveraged prior knowledge of ray bundle properties outside the optical hardware and proposed a novel bundle-fit-based model. In this approach, the ray paths within the optics are treated as a black box, while a lightweight optimization problem is solved to fit the ray bundle outside the optics. This method effectively addresses the accuracy issues of black-box models and the accessibility challenges of white-box models. Although our model involves runtime optimization, this is typically not a concern, as it can use the solution from a previous query to initialize the optimization for the current query. We evaluated the performance of our proposed method through both simulations and experiments on real hardware, demonstrating its effectiveness.