PLACING AND SOLVING CONSTRAINTS ON A 3D ENVIRONMENT

摘要

Systems and methods are disclosed for permitting the use of a natural language expression to specify object (or asset) locations in a virtual three-dimensional (3D) environment. By rapidly identifying and solving constraints for 3D object placement and orientation, consumers of synthetics services may more efficiently generate experiments for use in development of artificial intelligence (AI) algorithms and sensor platforms. Parsing descriptive location specifications, sampling the volumetric space, and solving pose constraints for location and orientation, can produce large numbers of designated coordinates for object locations in virtual environments with reduced demands on user involvement. Converting from location designations that are natural to humans, such as "standing on the floor one meter from a wall, facing the center of the room" to a six-dimensional (6D) pose specification (including 3-D location and orientation) can alleviate the need for a manual drag/drop/reorient procedure for placement of objects in a synthetic environment.