Invention Application
- Patent Title: BIOMETRIC OCULAR MEASUREMENTS USING DEEP LEARNING
-
Application No.: US17501868Application Date: 2021-10-14
-
Publication No.: US20220151482A1Publication Date: 2022-05-19
- Inventor: Robert Dimitri Angelopoulos , Bryan Stanfill
- Applicant: Alcon Inc.
- Applicant Address: CH Fribourg
- Assignee: Alcon Inc.
- Current Assignee: Alcon Inc.
- Current Assignee Address: CH Fribourg
- Main IPC: A61B3/00
- IPC: A61B3/00 ; A61B3/10 ; G06N3/08

Abstract:
A method for estimating biometric landmark dimensional measurements of a human eye includes, in a possible embodiment, receiving one or more images of the human eye via a host computer. In response to receiving the one or more images, the method includes generating a preliminary set of landmark point locations in the one or more images via the host computer using a deep-learning algorithm, and then refining the preliminary set of landmark point locations using a post-hoc processing routine of the host computer to thereby generate a final set of estimated landmark point locations. Additionally, the biometric landmark dimensional measurements are automatically generated via the host computer using the final set of estimated landmark point locations. A data set is then output that is inclusive of the set of estimated landmark point locations. A host computer that executes instructions from memory to perform the method.
Information query