Determination of pupillary distance using YOLO algorithm

Autor: Noel B. Linsangan, Emmanuel Luis D. Villanueva
Rok vydání: 2020
Předmět:
Zdroj: Twelfth International Conference on Digital Image Processing (ICDIP 2020).
DOI: 10.1117/12.2572946
Popis: This study highlights the importance of one of the most important components when prescription glasses are developed for a patient, which is the Pupillary Distance (PD). PD pertains to the distance between the two pupils. This is an essential information when having prescription glasses created to ensure that the pupils remain in the center of the glasses. This paper explores the application of the You Only Look Once (YOLO) algorithm in order to determine the distance between the two pupils measured. It has been found that the YOLO algorithm can be an efficient tool in measuring distances between the objects, which was proven by linear regression where the computed value and measured value are similar. The research has concluded that it can replicate the results from the conventional method of measuring Pupillary Distance through the use of a ruler.
Databáze: OpenAIRE