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Content Provider | IEEE Xplore Digital Library |
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Author | Harel, M. Moshe, Y. |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel (Harel, M.; Moshe, Y.) |
Abstract | Sensing in the Shortwave Infrared (SWIR) range has only recently been made practical. The SWIR band is not visible to the human eye but shows shadows and contrast in its imagery. Moreover, SWIR sensors are highly tolerant to challenging atmospheric conditions such as fog and smoke. However, fundamental differences exist in the appearance between images sensed in visible and SWIR bands. In particular, human faces in SWIR images do not match human intuition and make it difficult to recognize familiar faces by looking at such images. In this paper, we deal with a novel tone mapping application for SWIR face images. We propose a technique to map the tones of a human face acquired in the SWIR band to make it more similar to its appearance in the visible band. The proposed technique is easy to implement and produces natural looking face images. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 1962646 |
Page Count | 5 |
File Format | |
e-ISBN | 9781479959884 |
DOI | 10.1109/EEEI.2014.7005889 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-12-03 |
Publisher Place | Israel |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Face Lighting Skin Hair Cameras Reflectivity Face recognition tone mapping Shortwave infrared (SWIR) infrared imaging |
Content Type | Text |
Resource Type | Article |
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