2015/09/30 by Anirban Dasgupta, Shubhobrata Bhattacharya, Aurobinda Routray
Computer Science · #cs.CV
published as 2016 IEEE Students' Technology Symposium (IEEE TechSym 2016) · 5 pages, 9 figures, 1 Table. arXiv admin note: text overlap with arXiv:1505.04055
arxiv created 2016/08/11 · arxiv updated 2016/08/12
This paper presents a database of human faces for persons wearing spectacles. The database consists of images of faces having significant variations with respect to illumination, head pose, skin color, facial expressions and sizes, and nature of spectacles. The database contains data of 60 subjects. This database is expected to be a precious resource for the development and evaluation of algorithms for face detection, eye detection, head tracking, eye gaze tracking, etc., for subjects wearing spectacles. As such, this can be a valuable contribution to the computer vision community.