Abstract:
A method for detecting tooth wear using digital 3D models of teeth taken at different times. The digital 3D models of teeth are segmented to identify individual teeth within the digital 3D model. The segmentation includes performing a first segmentation method that over segments at least some of the teeth within the model and a second segmentation method that classifies points within the model as being either on an interior of a tooth or on a boundary between teeth. The results of the first and second segmentation methods are combined to generate segmented digital 3D models. The segmented digital 3D models of teeth are compared to detect tooth wear by determining differences between the segmented models, where the differences relate to the same tooth to detect wear on the tooth over time.
Abstract:
Reconstructed surface meshes can be generated based on a plurality of received surface meshes. Each surface mesh can include vertices and faces representing an object. The received surface meshes can be assigned to one of a plurality of groups, and a region of interest of each surface mesh within each group can be aligned. The reconstructed surface meshes can be generated based on the aligned regions of interest for each group.
Abstract:
A method for characterizing the uniformity of a material includes selecting a set of size scales at which to measure uniformity within an area of interest in an image of the material; suppressing features in the image smaller than a selected size scale of interest within the set of size scales; dividing the image into patches equal to the size scale of interest; and calculating a uniformity value within each patch.
Abstract:
A method includes imaging a surface with at least one imaging sensor, wherein the surface and the imaging sensor are in relative translational motion. The imaging sensor includes a lens having a focal plane aligned at a non-zero angle with respect to an x-y plane of a surface coordinate system. A sequence of images of the surface is registered and stacked along a z direction of a camera coordinate system to form a volume. A sharpness of focus value is determined for each (x,y) location in the volume, wherein the (x,y) locations lie in a plane normal to the z direction of the camera coordinate system. Using the sharpness of focus values, a depth of maximum focus zm along the z direction in the camera coordinate system is determined for each (x,y) location in the volume, and based on the depths of maximum focus zm, a three dimensional location of each point on the surface may be determined.