摘要:
A mechanism for automatically calculating loft surfaces from raw 3D scan data represented as a mesh or point cloud model is discussed. Users enter parameters related to the loft surface calculation via a provided user interface. User input and/or programmatically calculated parameters may include U-V direction, guide curve identification, and the amount of allowable deviation error between the calculated loft surface and the 3D scan data. Profile curves meeting the given parameters are then generated and a loft surface is calculated using the generated profile curves for a selected region. The user may select geometrically separated regions in order to create a single loft surface that connects the separate regions.
摘要:
An automated mechanism that identifies and defines a global coordinate system that is most appropriate for a collection of raw 3D scan data used to form a mesh model is discussed. More specifically, a coordinate system is identified that is able to minimize the total sum of deviation error while also minimizing the peak error for raw 3D scan data. The present invention searches for appropriate coordinate systems from raw 3D scan data in a fully automated way. Multiple coordinate systems in order of likelihood of leading to minimal global deviation error are identified and presented to a user. End users are also allowed to edit suggested coordinate system parameters interactively prior to the alignment of the 3D scan data being transformed based on a selected coordinate system.
摘要:
An automated mechanism that identifies and defines a global coordinate system that is most appropriate for a collection of raw 3D scan data used to form a mesh model is discussed. More specifically, a coordinate system is identified that is able to minimize the total sum of deviation error while also minimizing the peak error for raw 3D scan data. The present invention searches for appropriate coordinate systems from raw 3D scan data in a fully automated way. Multiple coordinate systems in order of likelihood of leading to minimal global deviation error are identified and presented to a user. End users are also allowed to edit suggested coordinate system parameters interactively prior to the alignment of the 3D scan data being transformed based on a selected coordinate system.