Abstract: A structural feature of a structure is identified by obtaining a global point cloud representation of the structure and obtaining a target point cloud that represents a target structural feature, wherein the target point cloud is a subset of the global point cloud representation of the structure. The global structural information and the target point cloud are supplied to a feature clustering process that produces a clustered representation of the structure, wherein the global structural information is derived from the global point cloud representation of the structure, the clustered representation is smaller than the global structural information, and the clustered representation comprises data points clustered around structural features that are similar the target point cloud. The clustered representation and the target point cloud are supplied to a feature matching process that produces one or more matching point clouds, each being a subset of the global point cloud representation of the structure.

Abstract: A structural feature of a structure is identified by obtaining a global point cloud representation of the structure and obtaining a target point cloud that represents a target structural feature, wherein the target point cloud is a subset of the global point cloud representation of the structure. The global structural information and the target point cloud are supplied to a global registration process that produces a globally registered representation of the structure, wherein the global structural information is derived from the global point cloud representation of the structure. The globally registered representation of the structure and the target point cloud are supplied to a local registration process that produces one or more matching point clouds, wherein each of the one or more matching point clouds is a subset of the global point cloud representation of the structure.

Abstract: A structural feature of a structure is identified by obtaining a global point cloud representation of the structure and obtaining a target point cloud that represents a target structural feature, wherein the target point cloud is a subset of the global point cloud representation of the structure. The global structural information and the target point cloud are supplied to a global registration process that produces a globally registered representation of the structure, wherein the global structural information is derived from the global point cloud representation of the structure. The globally registered representation of the structure and the target point cloud are supplied to a local registration process that produces one or more matching point clouds, wherein each of the one or more matching point clouds is a subset of the global point cloud representation of the structure.

Abstract: A method of indexing multidimensional data obtains (302) a data set (210) describing features defined over at least one dimension other than time. Index data (212) comprising at least one value corresponding to the at least one non-time dimension is also obtained. The data set is compressed (306) and the index data is associated (308) with the compressed data set such that the compressed data set is identifiable by the index data.

Abstract: There is provided a computer-implemented method of allocating a task to a set of distributed computing resources (102-114). The method includes obtaining (604) resource data (200) describing a set of distributed computing resources and obtaining (602) task data (400) describing a computing task to be performed. The method then selects (606) at least one of the distributed computing resources for performing the task based on the obtained description of the task.

Abstract: A method of indexing multidimensional data obtains (302) a data set (210) describing features defined over at least one dimension other than time. Index data (212) comprising at least one value corresponding to the at least one non-time dimension is also obtained. The data set is compressed (306) and the index data is associated (308) with the compressed data set such that the compressed data set is identifiable by the index data.