Invention Grant
- Patent Title: Multi-stage neural network process for keypoint detection in an image
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Application No.: US17455883Application Date: 2021-11-19
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Publication No.: US12112569B2Publication Date: 2024-10-08
- Inventor: Upal Mahbub , Rakesh Nattoji Rajaram , Vasudev Bhaskaran
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: QUALCOMM Incorporated
- Main IPC: G06V40/16
- IPC: G06V40/16 ; G06N3/045 ; G06T5/92 ; G06T7/11 ; G06V40/10

Abstract:
Embodiments include systems and methods that may be performed by a processor of a computing device. Embodiments may be applied for keypoint detection in an image. In embodiments, the processor of the computing device may apply to an image a first-stage neural network to define and output a plurality of regions, apply to each of the plurality of regions a respective second-stage neural network to output a plurality of keypoints in each of the plurality of regions, and apply to the plurality of keypoints a third-stage neural network to determine a correction for each of the plurality of keypoints to provide corrected keypoints.
Public/Granted literature
- US20220076059A1 Multi-Stage Neural Network Process for Keypoint Detection In An Image Public/Granted day:2022-03-10
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