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Scene Depth Profiling Using Helmholtz Stereopsis

机译:使用亥姆霍兹立体视觉进行场景深度分析

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Helmholtz stereopsis is a 3D reconstruction technique, capturing surface depth independent of the reflection properties of the material by using Helmholtz reciprocity. In this paper we are interested in studying the applicability of Helmholtz stereopsis for surface and depth profiling of objects and general scenes in the context of perspective stereo imaging. Helmholtz stereopsis captures a pair of reciprocal images by exchanging the position of light source and camera. The resulting image pair relates the image intensities and scene depth profile by a partial differential equation. The solution of this differential equation depends on the boundary conditions provided by the scene. We propose to limit the illumination angle of the light source, such that only mutually visible parts are imaged, resulting in stable boundary conditions. By simulation and experiment we show that a unique depth profile can be recovered for a large class of scenes including multiple occluding objects.
机译:亥姆霍兹立体视觉技术是一种3D重建技术,可通过使用亥姆霍兹互易性来捕获表面深度,而与材料的反射特性无关。在本文中,我们有兴趣研究亥姆霍兹立体视在透视立体成像环境中对对象和一般场景的表面和深度剖析的适用性。亥姆霍兹立体视觉通过交换光源和相机的位置来捕获一对相互的图像。生成的图像对通过偏微分方程将图像强度和场景深度轮廓关联起来。该微分方程的解取决于场景提供的边界条件。我们建议限制光源的照明角度,以便仅成像相互可见的部分,从而获得稳定的边界条件。通过仿真和实验,我们表明可以针对包括多个遮挡对象的一类场景恢复唯一的深度剖面。

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