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Fast spatial-temporal stereo matching for 3D face reconstruction under speckle pattern projection

机译:散斑图案投影下3D人脸重建的快速时空立体匹配

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Three-dimensional (3D) face reconstruction can be tackled in either measurement-based means or model-based means. The former requires special hardwares or devices, such as structured light setups. This paper addresses 3D face reconstruction by measurement-based means, more specifically a special kind of structured light called space-time speckle projection. Under such a setup, we propose a novel and efficient spatial-temporal stereo scheme towards fast and accurate 3D face recovery. To improve the overall computational efficiency, our scheme consists of a series of optimization strategies including face-cropping-based stereo matching, coarse-to-fine stereo matching strategy applied to face areas, and spatial-temporal integral image (STII) for accelerating the matching cost computation. Based on the results, the proposed scheme is able to reconstruct a 3D face in hundreds of milliseconds on a normal PC, and its performance is validated both qualitatively and quantitatively. (C) 2019 Elsevier B.V. All rights reserved.
机译:可以使用基于测量的方法或基于模型的方法来处理三维(3D)面部重建。前者需要特殊的硬件或设备,例如结构化的灯光设置。本文介绍了通过基于测量的方式进行3D人脸重建的方法,尤其是一种称为时空散斑投影的特殊结构光。在这样的设置下,我们提出了一种新颖,有效的时空立体声方案,以实现快速,准确的3D人脸恢复。为了提高整体计算效率,我们的方案包括一系列优化策略,包括基于面部裁剪的立体匹配,应用于面部区域的从粗到细的立体匹配策略以及用于加速图像处理的时空积分图像(STII)。匹配成本计算。根据结果​​,该方案能够在普通PC上数百毫秒内重建3D人脸,并且通过定性和定量验证了其性能。 (C)2019 Elsevier B.V.保留所有权利。

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