Abstract: A method and a system for creating a collective point-cloud data from a plurality of local point-cloud data including the steps of: providing scanner data containing a plurality of local point-cloud data and relatively low-precision positioning data of the scanner providing the local point-cloud data, creating a relatively medium-precision collective point-cloud data from the plurality of local point-cloud data using external (medium-precision) positioning data associated with each of said plurality of local point-cloud data, and then creating a relatively high-precision collective point-cloud data from said medium-precision collective point-cloud data.

Abstract: A method for encoding a video stream generated from at least one ultra-high resolution camera capturing sequential image frames from a fixed viewpoint of a scene includes decomposing the sequential image frames into quasi-static background and dynamic image features; distinguishing between different objects represented by the dynamic image features by recognizing characteristics and tracking movement of the objects in the sequential image frames. The dynamic image features are formatted into a sequence of miniaturized image frames that reduces at least one of: inter-frame movement of the objects; and high spatial frequency data. The sequence is compressed into a dynamic data layer and the quasi-static background into a quasi-static data layer.

Abstract: A method for generating a 3D-model of an urban environment including: identifying a first plurality of border lines where each border line substantially circumferences a sub-area within the urban environment; generating a 3D-model for the urban sub-areas; generating a 3D-model for an complementary area of the urban environment, the complementary area the border lines and the area between the border lines and excluding the urban sub-areas; merging the 3D-models of the sub-areas with the 3D-model of the complementary area to form said 3D-model of the urban environment.

Abstract: A method and a system for creating a collective point-cloud data from a plurality of local point-cloud data including the steps of: providing scanner data containing a plurality of local point-cloud data and relatively low-precision positioning data of the scanner providing the local point-cloud data, creating a relatively medium-precision collective point-cloud data from the plurality of local point-cloud data using external (medium-precision) positioning data associated with each of said plurality of local point-cloud data, and then creating a relatively high-precision collective point-cloud data from said medium-precision collective point-cloud data.

Abstract: A method, a system, and a program for high-fidelity three-dimensional modeling of a large-scale urban environment, performing the following steps: acquiring imagery of the urban environment, containing vertical aerial stereo-pairs, oblique aerial images; street-level imagery; and terrestrial laser scans, acquiring metadata pertaining to performance, spatial location and orientation of imaging sensors providing the imagery; identifying pixels representing ground control-points and tie-points in every instance of the imagery where the ground control-points and tie-points have been captured; co-registering the instances of the imagery using the ground control-points, the tie-points and the metadata, and referencing the co-registered imagery to a common, standard coordinate system.

Abstract: A method for generating 3D visualization of a large-scale environment comprising the steps of: acquiring a 3D model of the large-scale environment; dividing the 3D model into a near-field part and a far-field part; rendering an array of images of the far-field part; creating a 3D visualization of the near-field part combined with the array of rendered images of the far-field part and displaying the combined rendered images.

Abstract: A method for generating 3D visualization of a large-scale environment comprising the steps of: acquiring a 3D model of the large-scale environment; dividing the 3D model into a near-field part and a far-field part; rendering an array of images of the far-field part; creating a 3D visualization of the near-field part combined with the array of rendered images of the far-field part and displaying the combined rendered images.

Abstract: A method for presenting a perspective view of a real urban environment, augmented with associated geo-coded content, and presented on a display of a terminal device. The method comprises the steps of: connecting the terminal device to a server via a network; communicating user identification, user present-position information and at least one user command, from the terminal device to the server; processing a high-fidelity, large-scale, three-dimensional (3D) model of an urban environment, and associated geo-coded content by the server; communicating the 3D model and associated geo-coded content from said server to said terminal device, and processing said data layers and said associated geo-coded content, in the terminal device to form a perspective view of the real urban environment augmented with the associated geo-coded content. The 3D model comprises a data layer of 3D building models; a data layer of terrain skin model; and a data layer of 3D street-level-culture models.

Abstract: A method, a system, and a program for high-fidelity three-dimensional modeling of a large-scale urban environment, performing the following steps: acquiring imagery of the urban environment, containing vertical aerial stereo-pairs, oblique aerial images; street-level imagery; and terrestrial laser scans, acquiring metadata pertaining to performance, spatial location and orientation of imaging sensors providing the imagery; identifying pixels representing ground control-points and tie-points in every instance of the imagery where the ground control-points and tie-points have been captured; co-registering the instances of the imagery using the ground control-points, the tie-points and the metadata, and referencing the co-registered imagery to a common, standard coordinate system.