Abstract: Concepts and technologies are described herein for providing raster-based mesh decimation. Generally described, input data defining a model is processed to render the model as a depth map from a multitude of perspectives. By capturing depth map data from a multitude of perspectives, components of the model that are visible from the multitude of perspectives are captured in the depth map data and components that are blocked by the visible components are not captured in the depth map data. Point cloud data is generated by merging the depth map data captured from the multitude of perspectives. Output mesh data is generated by applying a surface reconstruction to the point cloud data. One or more mesh decimation algorithms may be applied to the mesh data. Image data may also be captured from the input data and applied to the output mesh data.

Abstract: Concepts and technologies are described herein for providing raster-based mesh decimation. Generally described, input data defining a model is processed to render the model as a depth map from a multitude of perspectives. By capturing depth map data from a multitude of perspectives, components of the model that are visible from the multitude of perspectives are captured in the depth map data and components that are blocked by the visible components are not captured in the depth map data. Point cloud data is generated by merging the depth map data captured from the multitude of perspectives. Output mesh data is generated by applying a surface reconstruction to the point cloud data. One or more mesh decimation algorithms may be applied to the mesh data. Image data may also be captured from the input data and applied to the output mesh data.