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Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09742-3
Abstract: Computer vision systems open a new challenge to recognize human faces under varied poses in similar capacity and capability as human-beings perform naturally. For surveillance applications, pose-invariant face recognition (PIFR) will become a major break-through…
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Keywords:
pose invariant;
review;
invariant face;
face recognition ... See more keywords
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1
Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1404-4
Abstract: In the proposed work introduced a pose-invariant face recognition process for the videos so as todiminish the calculation intricacy of the traditional technique. The intended approach includes four phases, namely (i) preprocessing, (ii) object detection,…
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Keywords:
technique;
video;
invariant face;
face ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7694-1
Abstract: The age-invariant face recognition (AIFR) is a relatively new area of research in the face recognition domain which has recently gained substantial attention due to its great potential and importance in real-world applications. However, the…
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Keywords:
gender specific;
age;
invariant face;
recognition ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7741-y
Abstract: Face recognition on the basis of age variation is a significant yet challenging issue. One among the effective methods to age-invariant face recognition is to form a face aging model that can be utilized to…
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Keywords:
age;
invariant face;
face;
age invariant ... See more keywords
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Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.2.023029
Abstract: Abstract. Age-invariant face recognition is still a challenging research problem due to the complex aging process involving types of facial tissues, skin, fat, muscles, and bones. Most of the related studies that have addressed the…
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Keywords:
age;
invariant face;
face;
age invariant ... See more keywords