System and methods for generating an optimized 3D model
Provided is a system and method for generating an optimized 3D model. The system includes a processor for receiving a high-poly 3D model, wherein the processor is configured to: divide the high-poly 3D model into a plurality of subcomponents, approximate each subcomponent of the plurality of subcomponents by a geometric shape, adjust the geometric shape to conform to the subcomponent to the geometric shape, merge the adjusted geometric shapes to form a reduced 3D model, and texture map the reduced 3D model to provide texture of the high-poly 3D model to form the optimized 3D model. The system also includes a memory connected to the processor for storing the high-poly 3D model and the optimized 3D model and a 3D model display for displaying the optimized 3D model.
1. A method of generating an optimized a 3D model, the method comprising:
receiving a 3D model;
scanning the 3D model;
creating a provisional point cloud model from the scanned 3D model;
recognizing one or more sharp edges in the 3D model to create edge data;
combining the edge data with the provisional point cloud model to form a combined 3D model;
remeshing the combined 3D model to form the optimized 3D model;
wherein recognizing the one or more sharp edges in the 3D model to create the edge data includes:
locating a plurality of polygons in the 3D model, each polygon defining a plane; and
for each polygon of the plurality of polygons, determining if an adjoining polygon of the plurality of polygons is at an angle above a set threshold, the angle being measured from the plane of that polygon to the plane of the adjoining polygon.
2. The method of claim 1 , wherein the 3D model is a polygon model, further comprising reducing a polygon count in the 3D model using quadratic decimation before scanning the 3D model.
3. The method of claim 1 , wherein scanning the 3D model includes scanning the 3D model with a virtual camera and teleporting the virtual camera around the 3D model to find the desired direction and angle to scan the 3D model.
4. The method of claim 1 , wherein recognizing the one or more sharp edges in the 3D model to create the edge data further includes setting a vertex weight of each sharp edge to a maximum vertex weight.
5. The method of claim 1 , wherein recognizing the one or more sharp edges in the 3D model to create the edge data further includes setting a vertex color of each sharp edge to white.
6. The method of claim 1 , wherein scanning the 3D model includes adjusting a sample density such that the provisional point cloud model contains a desired level of detail.