Abstract: Customer computer processing apparatus (2, 4) are connected to a service apparatus (6) via the Internet (8). Service apparatus (6) processes requests and payment details from a customer apparatus (2, 4), and, in response to a valid payment, sends instructions to the customer apparatus to enable the customer apparatus to control a printer (18) or a display panel (19) to print or display a photographic mat (24). Service apparatus (6) retains details of the photographic mat pattern for subsequent use. Images of a subject object on the photographic mat are recorded at different positions and orientations with a camera (16). Data defining the images is returned from the customer processing apparatus (2, 4) to the service apparatus (6). The service apparatus processes the image data along with the stored pattern data to identify the photographic mat features in the images and to calculate the position and orientation at which each image was recorded.

Abstract: In a processing system, video images of moving objects are processed to model the objects in a 3D computer model. Video from multiple cameras is processed to separate objects from their shadows, and to test whether an object is made up of separate objects, which are then modelled separately. Each object is modelled using vertical planes whose bases approximate the object's ground footprint, using planes based on object surface planes identified in the image data, or using a single vertical plane. Pixel data from the video images is rendered onto the planes in the models. The video for rendering is selected based on the viewer's viewing direction, the camera viewing directions, and quality characteristics of the cameras and image data. If the viewer's viewing direction is close to vertical or a plane of an object, a schematic of the objects' positions is displayed. To account for image data from different cameras being used, successive images are tested for visual discontinuous, and are modified if necessary.

Abstract: In an apparatus and method for creating a three-dimensional model of an object, images of the object taken from different, unknown positions are processed to identify the points in the images which correspond to the same point on the actual object (that is “matching” points), the matching points are used to determine the relative positions from which the images were taken, and the matching points and calculated positions are used to calculate points in a three-dimensional space representing points on the object. A number of different techniques are used to identify the matching points, and a number of solutions are calculated and tested for the relative positions, the solution which is consistent with the largest number of matching points being selected.

Abstract: In an apparatus and method for creating a three-dimensional model of an object, images of the object taken from different, unknown positions are processed to identify the points in the images which correspond to the same point on the actual object (that is “matching” points), the matching points are used to determine the relative positions from which the images were taken, and the matching points and calculated positions are used to calculate points in a three-dimensional space representing points on the object. A number of different techniques are used to identify the matching points, and a number of solutions are calculated and tested for the relative positions.

Abstract: In an apparatus and method for creating a three-dimensional model of an object, images of the object taken from different, unknown positions are processed to identify the points in the images which correspond to the same point on the actual object (that is “matching” points), the matching points are used to determine the relative positions from which the images were taken, and the matching points and calculated positions are used to calculate points in a three-dimensional space representing points on the object. A number of different techniques are used to identify the matching points, and a number of solutions are calculated and tested for the relative positions, the solution which is consistent with the largest number of matching points being selected.

Abstract: A method for compressing text, comprising the steps of splitting a main character string into component strings, and counting the frequency of occurrence of each component string in the main character string and ordering the component strings in their frequency of occurrence. The method also comprises a step of allocating to each component string a token value representative of the component string and determined by the frequency of occurrence of the component string, storing the token value so allocated as a token table in which tokens are associated with component strings, and allocating to each component string in the main character string the token value for that component string from the token table to generate a sequence of token values representing the main character string in a compressed format.