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Generating near-spherical range panoramas by fusing optical flow and stereo from a single-camera folded catadioptric rig

机译:通过融合单相机折叠折反射仪的光流和立体声来生成近球范围的全景图

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摘要

We design a novel “folded” spherical catadioptric rig (formed by two coaxially-aligned spherical mirrors of distinct radii and a single perspective camera) to recover near-spherical range panoramas (about 360° × 153°) from the fusion of depth given by optical flow and stereoscopy. We observe that for rigid motion that is parallel to a plane, optical flow and stereo generate nearly complementary distributions of depth resolution. While optical flow provides strong depth cues in the periphery and near the poles of the view-sphere, stereo generates reliable depth in a narrow band about the equator instead. We exploit this dual-modality principle by modeling (separately) the depth resolution of optical flow and stereo in order to fuse them later on a probabilistic spherical panorama. We achieve a desired vertical field-of-view and optical resolution by deriving a linearized model of the rig in terms of three parameters (radii of the two mirrors plus axial distance between the mirrors’ centers). We analyze the error due to the violation of the single viewpoint constraint and formulate additional constraints on the design to minimize this error. We evaluate our proposed method via a synthetic model and with real-world prototypes by computing dense spherical panoramas of depth from cluttered indoor environments after fusing the two modalities (stereo and optical flow).
机译:我们设计了一种新颖的“折叠”球形折反射台架(由两个不同半径的同轴对准球面镜和一个透视相机组成),可通过结合以下方法获得的深度恢复近球形范围的全景图(约360°×153°)光学流和立体镜。我们观察到,对于平行于平面的刚性运动,光流和立体声会生成深度分辨率的几乎互补的分布。尽管光流在视野的外围和极点附近提供了很强的深度提示,但立体声却在围绕赤道的窄带中生成可靠的深度。我们通过对光流和立体声的深度分辨率进行建模(分别)来利用这种双峰原理,以便稍后将它们融合在概率球形全景图上。通过根据三个参数(两个反射镜的半径加上两个反射镜中心之间的轴向距离)得出钻机的线性化模型,我们可以获得所需的垂直视场和光学分辨率。我们分析了由于违反单一视点约束而导致的错误,并在设计中制定了附加约束以最大程度地减少此错误。我们将两种模式(立体和光流)融合后,通过从杂乱的室内环境中计算密集的球形深度全景图,通过合成模型和真实世界的原型评估我们提出的方法。

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