کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10359190 | 869068 | 2005 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
IR and visible light face recognition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
This paper presents the results of several large-scale studies of face recognition employing visible-light and infrared (IR) imagery in the context of principal component analysis. We find that in a scenario involving time lapse between gallery and probe, and relatively controlled lighting, (1) PCA-based recognition using visible-light images outperforms PCA-based recognition using infrared images, (2) the combination of PCA-based recognition using visible-light and infrared imagery substantially outperforms either one individually. In a same-session scenario (i.e., near-simultaneous acquisition of gallery and probe images) neither modality is significantly better than the other. These experimental results reinforce prior research that employed a smaller data set, presenting a convincing argument that, even across a broad experimental spectrum, the behaviors enumerated above are valid and consistent.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 99, Issue 3, September 2005, Pages 332-358
Journal: Computer Vision and Image Understanding - Volume 99, Issue 3, September 2005, Pages 332-358
نویسندگان
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer,