Abstract: Systems and methods for just-in-time scheduling of conference rooms based on a plurality of conference room scheduling requests are provided. In some embodiments a plurality of conference room scheduling requests are obtained. A conference room scheduling request in the plurality of conference room scheduling requests includes at least one meeting constraint. The plurality of conference room scheduling requests is serviceable by a plurality of conference rooms. At least one conference room in the plurality of conference rooms is available for assignment. Prior to assigning the plurality of conference rooms in accordance with the plurality of conference scheduling requests, polling is conducted for a predefined trigger event corresponding to the at least one meeting constraint. In response to detecting the predefined trigger event, the plurality of conference rooms is assigned in accordance with the plurality of conference scheduling requests.

Abstract: Systems and methods for just-in-time scheduling of conference rooms based on a plurality of conference room scheduling requests are provided. In some embodiments a plurality of conference room scheduling requests are obtained. A conference room scheduling request in the plurality of conference room scheduling requests includes at least one meeting constraint. The plurality of conference room scheduling requests is serviceable by a plurality of conference rooms. At least one conference room in the plurality of conference rooms is available for assignment. Prior to assigning the plurality of conference rooms in accordance with the plurality of conference scheduling requests, polling is conducted for a predefined trigger event corresponding to the at least one meeting constraint. In response to detecting the predefined trigger event, the plurality of conference rooms is assigned in accordance with the plurality of conference scheduling requests.

Abstract: A method and a system for just-in-time scheduling of conference rooms based on a plurality of conference room scheduling requests, and then transmitting information concerning conference room assignments is described. One aspect of the invention involves a computer-implemented method. The method includes scheduling conference rooms just-in-time, in response to a predefined triggering event. The method includes retrieving stored conference room scheduling information corresponding to a respective conference room scheduling request. A combination of conference room assignments is selected for a plurality of conference room scheduling requests, in accordance with conference room assignment fitness scores for each of a plurality of potential combinations of conference room assignments. Conference rooms are assigned to respective requests in accordance with the selected combination.

Abstract: Creation of a computer representation of a three-dimensional object surface is described. The viewing cones for camera positions at which images of the object were taken are determined and the intersection of these viewing cones is used to define an initial three-dimensional space within which the object surface lies. This initial space is divided into voxels. Each non-occluded voxel is checked for photoconsistency by comparing the colors (or average colors) of the pixel patches in the images to which that voxel projects. Photo-inconsistent voxels are removed. A voxel may be determined to be photo-inconsistent if there exists no set of photoconsistent pixel regions or the pixel patches do not share a color value range. The pixel patch into which each voxel projects in a further image may be compared with the stored color for that voxel and any photo-inconsistent voxels removed. This process can then be repeated for further images.

Abstract: A 3-D model of an object is created by processing images taken from a series of camera positions. An initial sequence of the images is processed to define respective image co-ordinates of matching features to generate a set of model data defining model points in a 3-D space of the model and to obtain respective camera solutions representative of positions and orientations of virtual cameras in the 3-D space defining views of the model corresponding to the images. A new image is added to the sequence and processed to obtain a camera solution for a corresponding new virtual camera for use in generating further model data.

Abstract: An image processing system is provided which receives image data of a user and generates a set of appearance parameters representative of the appearance of the user in the received images. These appearance parameters may then be transformed either to change the identity of the user in the images or to change the resolution of the image of the user. Synthesised images of the user can then be generated from the transformed parameters. The system can be used as a stand alone image processing system or may form part of an image transmission and reception system. It may also be used for streaming data over limited bandwidth communication channels such as the Internet. A system is also provided for animating a single image from a set of image deviations obtained from a source video sequence. A system for changing the lighting conditions in the single image is also provided.

Abstract: A telephone system is described in which subscriber telephones store appearance models for the appearance of a party to the telephone call, from which it synthesises a video sequence of that party from a set of appearance parameters received from the telephone network. The appearance parameters may be generated either from a camera associated with the user's phone or may be generated from text or speech signals input by that party.

Abstract: A parametric model is provided for modelling the appearance of objects, such as human faces. The model can model both the shape and texture of the object and includes high resolution data which can be used to render high resolution versions of the object from a set of input parameters. In one embodiment, this high resolution texture information is obtained from high resolution texture information derived from a set of training objects.