Abstract: Techniques are disclosed for capturing facial appearance properties. In some examples, a facial capture system includes light source(s) that produce linearly polarized light, at least one camera that is cross-polarized with respect to the polarization of light produced by the light source(s), and at least one other camera that is not cross-polarized with respect to the polarization of the light produced by the light source(s). Images captured by the cross-polarized camera(s) are used to determine facial appearance properties other than specular intensity, such as diffuse albedo, while images captured by the camera(s) that are not cross-polarized are used to determine facial appearance properties including specular intensity. In addition, a coarse-to-fine optimization procedure is disclosed for determining appearance and detailed geometry maps based on images captured by the cross-polarized camera(s) and the camera(s) that are not cross-polarized.

Abstract: Techniques are disclosed for capturing facial appearance properties. In some examples, a facial capture system includes light source(s) that produce linearly polarized light, at least one camera that is cross-polarized with respect to the polarization of light produced by the light source(s), and at least one other camera that is not cross-polarized with respect to the polarization of the light produced by the light source(s). Images captured by the cross-polarized camera(s) are used to determine facial appearance properties other than specular intensity, such as diffuse albedo, while images captured by the camera(s) that are not cross-polarized are used to determine facial appearance properties including specular intensity. In addition, a coarse-to-fine optimization procedure is disclosed for determining appearance and detailed geometry maps based on images captured by the cross-polarized camera(s) and the camera(s) that are not cross-polarized.

Abstract: Embodiments disclosed herein relate to a method and apparatus for generating a three-dimensional surface. In one embodiment, there is a method for generating a three-dimensional surface. The method includes capturing a plurality of images of a target object with at least two cameras, the target object illuminated by at least two sets of red-green-blue (RGB) lights positioned in an array about the target object and generating a three-dimensional surface of the target object by iteratively reconstructing a surface estimate of the target object and aligning images of the target object using motion estimation until the images converge, wherein the images are processed in n-frame intervals.

Abstract: Embodiments disclosed herein relate to a method and apparatus for generating a three-dimensional surface. In one embodiment, there is a method for generating a three-dimensional surface. The method includes capturing a plurality of images of a target object with at least two cameras, the target object illuminated by at least two sets of red-green-blue (RGB) lights positioned in an array about the target object and generating a three-dimensional surface of the target object by iteratively reconstructing a surface estimate of the target object and aligning images of the target object using motion estimation until the images converge, wherein the images are processed in n-frame intervals.