Abstract: Techniques for context-aware identification of anomalies in civil infrastructure. A method includes applying an anomaly identification model to features extracted from visual content showing civil infrastructure in order to determine at least one anomalous portion shown in the visual multimedia content, a type of each anomalous portion, and a quantification of each anomalous portion; wherein the anomaly identification model is selected based on a type of material of the civil infrastructure; and generating a semantically labeled three-dimensional (3D) model based on the at least one anomalous portion and the type of each anomalous portion, wherein the semantically labeled 3D model includes anomalous points; wherein each anomalous point represents one of the at least one anomalous portion; wherein the anomalous points collectively define a pattern of the at least one anomalous portion; wherein each anomalous point is visually distinguished to indicate the quantification of the respective anomalous portion.

Abstract: Methods and systems for three-dimensional asset modeling. A method includes: initializing a georeferenced data structure for each of a plurality of discrete sub-regions of an asset based on a model representing the asset, wherein the model includes a plurality of points representing features of the asset, wherein each georeferenced data structure includes a subset of the plurality of points representing features of a respective sub-region of the plurality of sub-regions; and populating each georeferenced data structure with input data including three-dimensional (3D) modeling data and nonspatial data, wherein each portion of the input data for a georeferenced data structure is used to populate a respective portion of the georeferenced data structure, wherein the nonspatial data used to populate each georeferenced data structure is organized with respect to geometry of the georeferenced data structure and with respect to time of recording of the nonspatial data.

Abstract: Methods and systems for three-dimensional asset modeling. A method includes: initializing a georeferenced data structure for each of a plurality of discrete sub-regions of an asset based on a model representing the asset, wherein the model includes a plurality of points representing features of the asset, wherein each georeferenced data structure includes a subset of the plurality of points representing features of a respective sub-region of the plurality of sub-regions; and populating each georeferenced data structure with input data including three-dimensional (3D) modeling data and nonspatial data, wherein each portion of the input data for a georeferenced data structure is used to populate a respective portion of the georeferenced data structure, wherein the nonspatial data used to populate each georeferenced data structure is organized with respect to geometry of the georeferenced data structure and with respect to time of recording of the nonspatial data.

Abstract: Techniques for context-aware identification of anomalies in civil infrastructure. A method includes applying an anomaly identification model to features extracted from visual content showing civil infrastructure in order to determine at least one anomalous portion shown in the visual multimedia content, a type of each anomalous portion, and a quantification of each anomalous portion; wherein the anomaly identification model is selected based on a type of material of the civil infrastructure; and generating a semantically labeled three-dimensional (3D) model based on the at least one anomalous portion and the type of each anomalous portion, wherein the semantically labeled 3D model includes anomalous points; wherein each anomalous point represents one of the at least one anomalous portion; wherein the anomalous points collectively define a pattern of the at least one anomalous portion; wherein each anomalous point is visually distinguished to indicate the quantification of the respective anomalous portion.

Abstract: A method of creating a three-dimensional model, based on two-dimensional (hereinafter “2D”) images is provided. The method includes acquiring a number of images of a number of physical locations, wherein each image is associated with one image group of a number of hierarchical image groups, the number of hierarchical image groups including a base image group, converting images within a group to a number of 3D models, wherein each 3D model is associated with one model group of a number of hierarchical model groups, the number of hierarchical model groups including a base model group, merging a number of the 3D models from the base model group and a number of 3D models from another 3D model group to create a multi-scale 3D model, and utilizing the multi-scale 3D model.

Abstract: A method of creating a three-dimensional model, based on two-dimensional (hereinafter “2D”) images is provided. The method includes acquiring a number of images of a number of physical locations, wherein each image is associated with one image group of a number of hierarchical image groups, the number of hierarchical image groups including a base image group, converting images within a group to a number of 3D models, wherein each 3D model is associated with one model group of a number of hierarchical model groups, the number of hierarchical model groups including a base model group, merging a number of the 3D models from the base model group and a number of 3D models from another 3D model group to create a multi-scale 3D model, and utilizing the multi-scale 3D model.