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Coupled 3D Reconstruction of Sparse Facial Hair and Skin

机译:耦合3D重建稀疏面巾和皮肤

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Although facial hair plays an important role in individual expression, facial-hair reconstruction is not addressed by current facecapture systems. Our research addresses this limitation with an algorithm that treats hair and skin surface capture together in a coupled fashion so that a high-quality representation of hair fibers as well as the underlying skin surface can be reconstructed. We propose a passive, camera-based system that is robust against arbitrary motion since all data is acquired within the time period of a single exposure. Our reconstruction algorithm detects and traces hairs in the captured images and reconstructs them in 3D using a multiview stereo approach. Our coupled skin-reconstruction algorithm uses information about the detected hairs to deliver a skin surface that lies underneath all hairs irrespective of occlusions. In dense regions like eyebrows, we employ a hair-synthesis method to create hair fibers that plausibly match the image data. We demonstrate our scanning system on a number of individuals and show that it can successfully reconstruct a variety of facial-hair styles together with the underlying skin surface.
机译:虽然面部毛发在个体表达中发挥着重要作用,但目前的面部面积系统没有解决面部头发重建。我们的研究解决了这种限制,该算法以耦合方式将头发和皮肤表面捕获在一起,使得可以重建毛发纤维的高质量表示以及底层皮肤表面。我们提出了一种基于被动的基于相机的系统,其对任意运动具有鲁棒,因为所有数据都在单个曝光的时间段内获取。我们的重建算法检测和追踪捕获的图像中的毛发,并使用多视图立体声方法在3D中重建它们。我们的耦合皮肤重建算法使用有关检测到的毛发的信息,以递送所有毛发下方的皮肤表面,而不管闭塞。在像眉毛这样的密集区域中,我们采用头发合成方法来产生符号匹配图像数据的毛纤维。我们展示了许多人的扫描系统,并表明它可以成功地与潜在的皮肤表面一起重建各种面部发型。

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