MACHINE-LEARNING BASED COLLISION DETECTION FOR OBJECTS IN VIRTUAL ENVIRONMENTS
Abstract:
An apparatus includes a processor and a collision detection unit operatively coupled to the processor. The collision detection unit is configured to process, using a machine learning model, one or more parameters associated with a ray cast in virtual environment comprising an object. The machine learning model is configured to approximate a mesh representing the object. The collision detection unit is further configured to determine if the ray collides with the object based on processing the one or more parameters. In response to determining if the ray collides with the object, the collision detection unit is configured to generate collision data associated with the ray and the object.
Information query
Patent Agency Ranking
0/0