DETECTING AND ESTIMATING THE POSE OF AN OBJECT USING A NEURAL NETWORK MODEL

An object detection neural network receives an input image including an object and generates belief maps for vertices of a bounding volume that encloses the object. The belief maps are used, along with three-dimensional (3D) coordinates defining the bounding volume, to compute the pose of the object...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	To, Thang Hong, Birchfield, Stanley Thomas, Tremblay, Jonathan
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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