Abstract: An apparatus is described which includes two or more colour displays arranged to provide piece-wise continuous illumination of a volume, and one or more cameras arranged to image the volume. The apparatus is configured to control the colour displays and the cameras to illuminate the volume with each of two or more illumination conditions. The apparatus is also configured to obtain two or more sets of images, which include sufficient information for calculation of a reflectance map and a photometric normal map of an object or subject positioned within the volume. Each set of images is obtained during illumination of the volume with one or more corresponding illumination conditions. When viewed from the volume, the apparatus only provides direct illumination of the volume from angles within a zone of a hemisphere, which is less than a hemisphere.

Abstract: A method is described which includes receiving a number of object images of an object. Each object image corresponds to a different view direction. First and second object images correspond to first and second directions. A mesh is determined corresponding to the target region of the object surface based on a first subset of the number of object images. Diffuse and specular maps are determined corresponding to the target region of the object surface based on processing a second subset of the object images using a deep learning neural network model trained to estimate diffuse and specular albedo components based on an input image. A tangent normal map is determined corresponding to the target region of the object surface based on high-pass filtering each object image of the second subset. The method also includes storing and/or outputting the mesh, the diffuse map, the specular map and the tangent normal map.

Abstract: A method is described which included receiving (S1) a number of object images (IMn) of an object (1). Each object image (IMn) corresponds to a different view direction (n). The object images include first (IM1) and second (IM2) object images corresponding to first (n1) and second (n2) directions. The method also includes determining (S2) a mesh (20) corresponding to the target region (5) of the object (1) surface (2) based on a first subset (MESH) of the number of object images (IMn) which includes two or more object images (IMn) of the number of object images (IMn). The method also includes determining (S3) diffuse (DFUV) and specular (SPUV) maps corresponding to the target region (5) of the object (1) surface (2) based on processing a second subset (REFLECT) of the object images (IMn) using a deep learning neural network model trained to estimate diffuse (DFn) and specular (SPn) albedo components based on an input image (IMn).

Abstract: A method is described which included receiving (S1) a number of object images (IMn) of an object (1). Each object image (IMn) corresponds to a different view direction (n). The object images include first (IM1) and second (IM2) object images corresponding to first (n1) and second (n2) directions. The method also includes determining (S2) a mesh (20) corresponding to the target region (5) of the object (1) surface (2) based on a first subset (MESH) of the number of object images (IMn) which includes two or more object images (IMn) of the number of object images (IMn). The method also includes determining (S3) diffuse (DFUV) and specular (SPUV) maps corresponding to the target region (5) of the object (1) surface (2) based on processing a second subset (REFLECT) of the object images (IMn) using a deep learning neural network model trained to estimate diffuse (DFn) and specular (SPn) albedo components based on an input image (IMn).

Abstract: An apparatus (1, 5, 6) is described which includes two or more colour displays (2) arranged to provide piece-wise continuous illumination of a volume. The apparatus (1, 5, 6) also includes one or more cameras (3). Each camera (3) is arranged to image the volume. The apparatus (1, 5, 6) is configured to control the two or more colour displays (2) and the one or more cameras (3) to illuminate the volume with each of two or more illumination conditions. The apparatus (1, 5, 6) is also configured to obtain two or more sets of images. Each set of images is obtained during illumination of the volume with one or more corresponding illumination conditions. The two or more sets of images include sufficient information for calculation of a reflectance map and a photometric normal map of an object or subject (4) positioned within the volume. When viewed from the volume, the apparatus (1, 5, 6) only provides direct illumination of the volume from angles within a zone of a hemisphere.