Progressive Acquisition of SVBRDF and Shape in Motion,Computer Graphics Forum

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Progressive Acquisition of SVBRDF and Shape in Motion
Computer Graphics Forum ( IF 2.7 ) Pub Date : 2020-08-08 , DOI: 10.1111/cgf.14087
Hyunho Ha ₁ , Seung‐Hwan Baek ₁ , Giljoo Nam ₁ , Min H. Kim ₁

Affiliation

To estimate appearance parameters, traditional SVBRDF acquisition methods require multiple input images to be captured with various angles of light and camera, followed by a post‐processing step. For this reason, subjects have been limited to static scenes, or a multiview system is required to capture dynamic objects. In this paper, we propose a simultaneous acquisition method of SVBRDF and shape allowing us to capture the material appearance of deformable objects in motion using a single RGBD camera. To do so, we progressively integrate photometric samples of surfaces in motion in a volumetric data structure with a deformation graph. Then, building upon recent advances of fusion‐based methods, we estimate SVBRDF parameters in motion. We make use of a conventional RGBD camera that consists of the colour and infrared cameras with active infrared illumination. The colour camera is used for capturing diffuse properties, and the infrared camera‐illumination module is employed for estimating specular properties by means of active illumination. Our joint optimization yields complete material appearance parameters. We demonstrate the effectiveness of our method with extensive evaluation on both synthetic and real data that include various deformable objects of specular and diffuse appearance.

中文翻译：

SVBRDF 和运动中形状的渐进式采集

为了估计外观参数，传统的 SVBRDF 采集方法需要使用不同角度的光线和相机捕获多个输入图像，然后进行后处理步骤。出于这个原因，主题仅限于静态场景，或者需要多视图系统来捕捉动态对象。在本文中，我们提出了一种同时获取 SVBRDF 和形状的方法，使我们能够使用单个 RGBD 相机捕捉运动中可变形物体的材料外观。为此，我们逐步将运动表面的光度样本集成到具有变形图的体积数据结构中。然后，基于基于融合的方法的最新进展，我们估计运动中的 SVBRDF 参数。我们使用传统的 RGBD 相机，该相机由具有主动红外照明的彩色和红外相机组成。彩色相机用于捕捉漫反射特性，红外相机照明模块用于通过主动照明估计镜面反射特性。我们的联合优化产生完整的材料外观参数。我们通过对合成和真实数据的广泛评估来证明我们的方法的有效性，这些数据包括镜面反射和漫反射外观的各种可变形对象。

更新日期：2020-08-08

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