Abstract: A scene point cloud is processed and a solution to an inverse-function is determined to determine its source objects. A primitive extraction process and a part matching process are used to compute the inverse function solution. The extraction process estimates models and parameters based on evidence of cylinder and planar geometry in the scene. The matching process matches clusters of 3D points to models of parts from a library. A selected part and its associated polygon model is used to represent the point cluster. Iterations of the extraction and matching processes complete a 3D model for a complex scene made up of planes, cylinders, and complex parts from the parts library. Connecting regions between primitives and/or parts are processed to determine their existence and type. Constraints may be used to ensure a connected model and alignment of its components.

Abstract: A scene point cloud is processed and a solution to an inverse-function is determined to determine its source objects. A primitive extraction process and a part matching process are used to compute the inverse function solution. The extraction process estimates models and parameters based on evidence of cylinder and planar geometry in the scene. The matching process matches clusters of 3D points to models of parts from a library. A selected part and its associated polygon model is used to represent the point cluster. Iterations of the extraction and matching processes complete a 3D model for a complex scene made up of planes, cylinders, and complex parts from the parts library. Connecting regions between primitives and/or parts are processed to determine their existence and type. Constraints may be used to ensure a connected model and alignment of its components.

Abstract: Described herein is a data visualization system for generating an interactive 3D volume rendering of a subsurface volume with values of one or more variables displayed in the interactive 3D volume rendering of the subsurface volume.