Abstract: This application teaches a method for indicating voxel quality comprising graphically and/or mathematically. Such a method may include measuring a distance from the three-dimensional scanning device to an area of a subject corresponding to an image voxel. It may also include measuring an angle between a line of sight from the three-dimensional imaging device and an orthogonal ray of the same area of the subject corresponding to the same voxel. The process may further include comparing the measured distance and angle to known acceptable operating ranges of the scanner, and plotting a quality point corresponding to the foregoing metrics on a set of axes.

Abstract: This application teaches a method for indicating voxel quality comprising graphically and/or mathematically. Such a method may include measuring a distance from the three-dimensional scanning device to an area of a subject corresponding to an image voxel. It may also include measuring an angle between a line of sight from the three-dimensional imaging device and an orthogonal ray of the same area of the subject corresponding to the same voxel. The process may further include comparing the measured distance and angle to known acceptable operating ranges of the scanner, and plotting a quality point corresponding to the foregoing metrics on a set of axes.

Abstract: This application teaches a method or methods related to recording animation. Such a method may include determining a reference model of an object by separating a 3D image of the object from a 3D image of its environment. The method may also include analyzing the reference model using a feature detection and localization algorithm(s). The object may then be recorded in motion, and the recording may be analyzed using feature detection and localization algorithms(s). Features of the recording may be matched to features of the reference model, wherein a match between the reference model and a frame of the recording comprises a pose of the object. A video animation may be created by recording a time series of poses of the object.

Abstract: This application relates to methods for generating two-dimensional images from three-dimensional model data. A process according to the application may begin with providing a set of three-dimensional model data of a subject, and determining a set of boundaries between intersecting surfaces of the set of three-dimensional model data. A user or an algorithm may select a view of the three-dimensional model data to convert to a two-dimensional image. The process may further include determining an outline of the three-dimensional model corresponding to the selected view, and projecting the outline of the three-dimensional model and a visible portion of the set of boundaries onto a two-dimensional image plane.

Abstract: A three-dimensional scan editing method can include providing a set of three-dimensional model data defining a three-dimensional subject, and displaying the data as a reconstructed image. A user may select one or more voxels and change its state to over-writable. The state change may be reflected by a visual cue such as color or transparency. An image capture device may be provided and its field of view may be co-registered with the selected voxels. The user may then acquire new 3D model data with the device and overwrite the selected voxels with the new data.

Abstract: This application is drawn to methods for identifying three-dimensional objects. Methods disclosed herein may include converting 3D model data to a set of simple surfaces, and generating searchable parameters from the image data and/or the simple surfaces. The searchable parameters may be stored in a database as metadata. A searcher may construct a search query by providing 3D model data from which search parameters and features may be extracted and used to formulate a query.