NDLI: Impact of Tone-mapping Algorithms on Subjective and Objective Face Recognition in HDR Images

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Impact of Tone-mapping Algorithms on Subjective and Objective Face Recognition in HDR Images

Content Provider	ACM Digital Library
Author	Korshunov, Pavel Ebrahimi, Touradj Bernardo, Marco V. Pinheiro, Antonio M.G.
Abstract	Crowdsourcing is a popular tool for conducting subjective evaluations in uncontrolled environments and at low cost. In this paper, a crowdsourcing study is conducted to investigate the impact of High Dynamic Range (HDR) imaging on subjective face recognition accuracy. For that purpose, a dataset of HDR images of people depicted in high-contrast lighting conditions was created and their faces were manually cropped to construct a probe set of faces. Crowdsourcing-based face recognition was conducted for five differently tone-mapped versions of HDR faces and were compared to face recognition in a typical Low Dynamic Range alternative. A similar experiment was also conducted using three automatic face recognition algorithms. The comparative analysis results of face recognition by human subjects through crowdsourcing and machine vision face recognition show that HDR imaging affects the recognition results of human and computer vision approaches differently.
Starting Page	39
Ending Page	44
Page Count	6
File Format	PDF
ISBN	9781450337465
DOI	10.1145/2810188.2810195
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-10-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Crowdsourcing Evaluation Face recognition Hdr Database
Content Type	Text
Resource Type	Article

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