A survey of face recognition techniques under occlusion
- URL: http://arxiv.org/abs/2006.11366v1
- Date: Fri, 19 Jun 2020 20:44:02 GMT
- Title: A survey of face recognition techniques under occlusion
- Authors: Dan Zeng, Raymond Veldhuis and Luuk Spreeuwers
- Abstract summary: occluded face recognition is imperative to exploit the full potential of face recognition for real-world applications.
We present how existing face recognition methods cope with the occlusion problem and classify them into three categories.
We analyze the motivations, innovations, pros and cons, and the performance of representative approaches for comparison.
- Score: 4.10247419557141
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The limited capacity to recognize faces under occlusions is a long-standing
problem that presents a unique challenge for face recognition systems and even
for humans. The problem regarding occlusion is less covered by research when
compared to other challenges such as pose variation, different expressions,
etc. Nevertheless, occluded face recognition is imperative to exploit the full
potential of face recognition for real-world applications. In this paper, we
restrict the scope to occluded face recognition. First, we explore what the
occlusion problem is and what inherent difficulties can arise. As a part of
this review, we introduce face detection under occlusion, a preliminary step in
face recognition. Second, we present how existing face recognition methods cope
with the occlusion problem and classify them into three categories, which are
1) occlusion robust feature extraction approaches, 2) occlusion aware face
recognition approaches, and 3) occlusion recovery based face recognition
approaches. Furthermore, we analyze the motivations, innovations, pros and
cons, and the performance of representative approaches for comparison. Finally,
future challenges and method trends of occluded face recognition are thoroughly
discussed.
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