Multiperspective images (MPIs) show more than what is visible from a single viewpoint and are a promising approach for alleviating the problem of occlusions. We present a comprehensive user study that investigates the effectiveness of MPIs for 3-D scene exploration. A total of 47 subjects performed searching, counting, and spatial orientation tasks using both conventional and multiperspective images. We use a flexible MPI framework that allows trading off disocclusion power for image simplicity. The framework also allows rendering MPI images at interactive rates, which enables investigating interactive navigation and dynamic 3-D scenes. The results of our experiments show that MPIs can greatly outperform conventional images. For searching, subjects performed on average 28% faster using an MPI. For counting, accuracy was on average 91% using MPIs as compared to 42% for conventional images.

中文翻译：

---

使用多视角图像框架评估 3-D 场景探索

多视角图像 (MPI) 显示的不仅仅是从单个视点可见的内容，并且是缓解遮挡问题的一种很有前途的方法。我们提出了一项全面的用户研究，该研究调查了 MPI 在 3-D 场景探索中的有效性。共有 47 名受试者使用传统和多视角图像执行搜索、计数和空间定位任务。我们使用灵活的 MPI 框架，该框架允许为了图像的简单性而权衡遮挡能力。该框架还允许以交互速率渲染 MPI 图像，从而能够研究交互式导航和动态 3-D 场景。我们的实验结果表明，MPI 可以大大优于传统图像。对于搜索，使用 MPI 的受试者平均执行速度快 28%。为了计数，