Abstract: According to an aspect, there is provided a system (40) configured to perform a personal care operation on skin of a subject. The system (40) comprises a processing unit (46) and a personal care device (2). The personal care device (2) comprises a housing (4) having an aperture (10) that is arranged in the housing (4) such that the aperture (10) is adjacent to the skin when the personal care device (2) is in contact with the skin and is to be used to perform the personal care operation on the skin. The personal care device (2) also comprises an imaging unit (44) disposed in the housing (4) and arranged to obtain images of the skin adjacent to the aperture (10) using light passing through the aperture (10) into the personal care device (2), wherein, in a skin contact detection mode of the system (40), a focal plane (66) of the imaging unit (44) is aligned with the aperture (10).

Abstract: A computer-implemented method for performing image-based food quantity estimation is provided. The method includes acquiring a first image, when the first image depicts a food item and a body part of a first user. The method further includes detecting, based on the acquired first image, a first physical attribute of the body part of the first user. The method furthermore includes identifying, based on the acquired first image, the depicted food item, and estimating a quantity of the food item depicted in the acquired first image based on the identified food item and the detected first physical attribute of the body part of the user.

Abstract: Image processing device (100) arranged for remapping a depth map (101) is disclosed. A 3D image comprises the depth map and a content image. The depth map has depth pixels in a 2D array. Each depth pixel has a depth value (203) and a location (201, 202). The remapping comprises a global remapping function (122). The image processing device comprises a processing unit (199) comprising: a selection function (110) for selecting depth pixels (112) that correspond to at least one object in the three-dimensional image using selection criteria based on at least location and depth value; a determining function (120) for determining a local remapping function (121) for remapping the object; and a mapping function (130) for remapping the depth map using the local remapping function for remapping the selected depth pixels and using the global remapping function for other depth pixels. The object is selected using selection criteria provided via metadata coupled to the 3D image.

Abstract: A method of creating a printable raster image file from a PDL file, including interpreting the PDL file, thereby to create a display list; and applying raster image processing to the display list, thereby to create the printable raster image file in four separation colours (C, M, Y, K), wherein the raster image processing is performed in a Graphics Processing Unit (GPU) having three colour channels (R, G, B) and an alpha channel (A) for transparency, and the three colour channels and the alpha channel are mapped onto the four separation colours (C, M, Y, K).