US 11,989,911 B2
Method and apparatus for tracking eye based on eye reconstruction
Jingu Heo, Yongin-si (KR); Dongwoo Kang, Seoul (KR); and Dong Kyung Nam, Yongin-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on May 9, 2022, as Appl. No. 17/740,076.
Application 17/740,076 is a continuation of application No. 16/895,600, filed on Jun. 8, 2020, granted, now 11,327,562.
Claims priority of application No. 10-2019-0163642 (KR), filed on Dec. 10, 2019.
Prior Publication US 2022/0269343 A1, Aug. 25, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/73 (2017.01); G06F 3/01 (2006.01); G06T 7/246 (2017.01); G06T 7/254 (2017.01); G06V 10/77 (2022.01); G06V 40/18 (2022.01); G06V 40/19 (2022.01)
CPC G06T 7/74 (2017.01) [G06F 3/013 (2013.01); G06T 7/246 (2017.01); G06T 7/254 (2017.01); G06V 10/7715 (2022.01); G06V 40/19 (2022.01); G06V 40/193 (2022.01); G06T 2207/30201 (2013.01)] 17 Claims
OG exemplary drawing
 
1. An eye tracking method comprising:
generating a reconstructed image by performing eye reconstruction with respect to an input image by reducing a noise component in the input image;
selecting a sample image corresponding to the input image among sample images stored in a database, as a replacement image of the input image;
selecting one of the input image, the reconstructed image, and the replacement image as a target image; and
performing eye tracking based on the target image,
wherein the generating comprises generating the reconstructed image based on a portion having a high priority among principal component vectors corresponding to the input image, and
wherein each of the principal component vectors corresponds to an eigenface predetermined based on principal component analysis on various face images.