Abstract: A method for generating metadata to accompany a volumetric video for texels in an object in a volumetric video. The method comprises steps of: inputting a 2D representation of the object; identifying areas in the representation that have the same one or more properties with respect to light; and generating input material groups, where all texels in each input material group have the same properties with respect to light. There exists a correspondence between at least part of the input representation and at least part of the object in the volumetric video, so that there is a correspondence between texels in the representation and texels in the object so that output material groups can be generated from the input material groups and the properties with respect to light can be stored with the volumetric video as metadata.

Abstract: The present invention generally pertains to systems, methods, and non-transitory processor-readable mediums for ensuring a match between geometry and texture when playing volumetric videos in a web browser.

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 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 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.