Layered Depth Panoramas

K. Zheng, S. B. Kang, Michael F. Cohen, R. Szeliski
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引用次数: 32

Abstract

Representations for interactive photorealistic visualization of scenes range from compact 2D panoramas to data-intensive 4D light fields. In this paper, we propose a technique for creating a layered representation from a sparse set of images taken with a hand-held camera. This representation, which we call a layered depth panorama (LDP), allows the user to experience 3D by off-axis panning. It combines the compelling experience of panoramas with limited 3D navigation. Our choice of representation is motivated by ease of capture and compactness. We formulate the problem of constructing the LDP as the recovery of color and geometry in a multi-perspective cylindrical disparity space. We leverage a graph cut approach to sequentially determine the disparity and color of each layer using multi-view stereo. Geometry visible through the cracks at depth discontinuities in a frontmost layer is determined and assigned to layers behind the frontmost layer. All layers are then used to render novel panoramic views with parallax. We demonstrate our approach on a variety of complex outdoor and indoor scenes.
分层深度全景
交互式逼真场景可视化的表示范围从紧凑的2D全景图到数据密集型的4D光场。在本文中,我们提出了一种从手持相机拍摄的稀疏图像集创建分层表示的技术。这种表示,我们称之为分层深度全景(LDP),允许用户通过离轴平移来体验3D。它结合了令人信服的全景体验和有限的3D导航。我们选择表示法的动机是易于捕获和紧凑性。我们将LDP的构造问题表述为多视角圆柱视差空间中颜色和几何的恢复问题。我们利用图形切割方法来确定使用多视图立体的每一层的视差和颜色。在最前端层的深度不连续处通过裂缝可见的几何形状被确定并分配给最前端层后面的层。所有的图层都用来渲染新颖的视差全景。我们在各种复杂的室外和室内场景中展示了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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