Two dimensional and three dimensional primitive processing to determine a two dimensional plan

Abstract

Techniques for two dimensional and three dimensional primitive processing to determine a two dimensional plan are described herein. In an example, first two-dimensional (2D) primitives associated with a room are determined based on an image frame defined in an image space as an input to a machine learning model. The first 2D primitives are of different types. A first three-dimensional (3D) primitive corresponding to the first 2D primitives is determined based on camera pose data associated with the image frame and the first 2D primitives. A 2D projection of the first 3D primitive onto a projection plane is determined based on 2D contour of the room defined in the projection plane. The 2D projection includes second 2D primitives. A 2D plan associated with the room is generated based on the second 2D primitives.