Multi-stage neural network process for keypoint detection in an image

A computing device, comprising:

• a memory;
• and
• a processor coupled to the memory and configured with processor-executable instructions to perform operations comprising:
• analyzing an image using a first-stage neural network to output a plurality of regions;
• analyzing each of the plurality of regions using a respective second-stage neural network to output a plurality of keypoints in each of the plurality of regions;
• and
• analyzing the plurality of keypoints using a third-stage neural network to determine a correction for the plurality of keypoints to provide corrected keypoints.

A non-transitory processor-readable medium having stored thereon processor-executable instructions configured to cause a processor of a computing device to perform operations comprising:

• analyzing an image using a first-stage neural network to output a plurality of regions;
• analyzing each of the plurality of regions using a respective second-stage neural network to output a plurality of keypoints in each of the plurality of regions;
• and
• analyzing the plurality of keypoints using a third-stage neural network to determine a correction for the plurality of keypoints to provide corrected keypoints.

A computing device, comprising:

• means for analyzing an image using a first-stage neural network to output a plurality of regions;
• means for analyzing each of the plurality of regions using a respective second-stage neural network to output a plurality of keypoints in each of the plurality of regions;
• and
• means for analyzing the plurality of keypoints using a third-stage neural network to determine a correction for the plurality of keypoints to provide corrected keypoints.