Abstract: Some embodiments are directed to a device that supports work of picking or sorting an article from a warehouse and the like, which allows the picking work to be carried out accurately and quickly. The device includes: a camera that photographs an automatically-readable identifier that is attached to a storage location of an article; an information processing unit that detects the identifier from an image photographed by the camera and processes the image of the identifier; and a display that displays information such as image information and text information. The information processing unit processes, based on the detected identifier and picking work order information, image on a specific identifier, and the processed image is displayed on the display at a location related to the identifier.

Abstract: A stereoscopic image generation method and a stereoscopic image generation system that can generate, from an original image, a stereoscopic image that allows the viewer to perceive a natural stereoscopic effect are provided. The method includes a region setting step of setting a plurality of regions in an original image, a characteristic information acquisition step of acquiring characteristic information for each of pixels constituting the original image, a depth information generation step of generating depth information for each of the pixels for each of the plurality of regions on the basis of the characteristic information, and a stereoscopic image generation step of generating a stereoscopic image in which the positions of the pixels are changed on the basis of the pieces of depth information.

Abstract: A stereoscopic image generation method and a stereoscopic image generation system that can generate, from an original image, a stereoscopic image that allows the viewer to perceive a natural stereoscopic effect are provided. The method includes a characteristic information acquisition step of acquiring characteristic information for each of pixels, a depth information generation step of generating depth information for each of the pixels on the basis of the characteristic information, and a stereoscopic image generation step of generating a stereoscopic image on the basis of the pieces of depth information.

Abstract: An unprocessed image is prepared which is shot against an arbitrary background, including materials to be trimmed. Color values are collected from a plurality of frames of this unprocessed image in a collection point including one or more pixels, whereby a color information set is obtained. From the color information set, it is judged which color shows the background and which color shows the materials to be trimmed, thereby determining an optimum background-side color value. This process is applied to an area where to extract the background from, thereby obtaining a background image into which the background is extracted. This makes it possible to obtain background images from unprocessed images that are shot in busy locations, without traffic controls or dedicated studios.

Abstract: Using a background-side image which is a shot of an arbitrary background and a material-side image which is a shot of a composition material against the same background, two images are compared to extract an image material to be composited. Images shot in any scenery can thus be used to extract a composition material, being part of the images, without using a certain background such as a blue screen.

Abstract: An unprocessed image is prepared which is shot against an arbitrary background, including materials to be trimmed. Color values are collected from a plurality of frames of this unprocessed image in a collection point including one or more pixels, whereby a color information set is obtained. From the color information set, it is judged which color shows the background and which color shows the materials to be trimmed, thereby determining an optimum background-side color value. This process is applied to an area where to extract the background from, thereby obtaining a background image into which the background is extracted. This makes it possible to obtain background images from unprocessed images that are shot in busy locations, without traffic controls or dedicated studios.