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Title: An Indian facial database highlighting the Spectacle Problems
Authors: Lazarus, M Zefree
Gupta, Supratim
Panda, Nidhi
Keywords: Indian face database
Face detection
Eye detection
Secondary reflection
Issue Date: Apr-2018
Citation: IEEE International Conference on Innovative Technologies in Engineering 2018 (ICITE OU), Hyderabad, India, 11 - 13 April, 2018
Abstract: Occlusion, glare and secondary reflections formed due to and on the spectacles - results in poor detection, localization, and recognition of eye/face features. We term all the problems related to the usage of spectacles as The spectacle problem. Though several studies on the spectacle detection and removal have been reported in the literature, the study focusing on spectacle problem removal is very limited. One of the main reasons being, the nonavailability of a facial image database highlighting the spectacle problems. Therefore, we created an Indian facial image database consisting of corresponding facial images with and without spectacle problems. The release of database Version 1 contains a total of 270 images from 10 subjects - each image marked with 19 facial landmarking. This database is released now to promote research and development of Spectacle problem removal algorithms. In this paper, we describe the recording procedure and present the results of few baseline face detection algorithms.
Description: Copyright of this document belongs to proceedings publisher.
Appears in Collections:Conference Papers

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