Confidence-Based Bounding Boxes For Three Dimensional Objects
OwnerYuXuan Liu, Xi Chen +1inventors
InventorsYuXuan Liu, Xi Chen, Nikhil Mishra
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OwnerYuXuan Liu, Xi Chen +1inventors
InventorsYuXuan Liu, Xi Chen, Nikhil Mishra
Estimating the term…
Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to modeling uncertainty in neural network predictions using bounding box predictions for imaged objects. In some embodiments, a computer vision system for guiding robotic picking utilizes a method for uncertainty modeling that comprises identifying a three-dimensional object in one or more images of a scene, wherein at least one side of the 3D object is not visible to the computer vision system. The method further comprises predicting a plurality of volumes that comprise the object, wherein each volume of the plurality of volumes comprises at least a portion of the object. From the plurality of volumes, a confidence level may be determined for each volume, wherein the confidence level represents a likelihood that the volume contains the entire object.
A method of operating a computer vision system, the method comprising:
A system comprising:
One or more computer-readable storage media having program instructions stored thereon to generate bounding boxes for three-dimensional (3D) objects, wherein the program instructions, when read and executed by a processing system, direct the processing system to at least:
Dependencies are inferred from the claim text.