Paper Info
Title
Impact of resolution and image quality on video face analysis
Abstract
Low-resolution face analysis suffers more significantly from quality degradations than high-resolution analysis. In this work, we will investigate how several face analysis steps are influenced by low image quality and how this relates to the low resolution. In the first step, a simulation of different effects on image quality, namely low resolution, compression artifacts, motion blur and noise is performed and the impact on face detection, registration and recognition is analyzed. Depending on the situation, it becomes obvious that the low resolution is sometimes a minor degrading effect, outmatched by a single one or a combination of the further effects. When addressing real-world face recognition from surveillance data, the combination of the challenging effects is the biggest problem because typical counter measures are individual to one single effect.
Year
DOI
Venue
2015
10.1109/AVSS.2015.7301750
Advanced Video and Signal Based Surveillance
Keywords
Field
DocType
face recognition,image resolution,image restoration,video signal processing,compression artifacts,face detection,high-resolution analysis,image quality,motion blur,video face analysis
Computer vision,Facial recognition system,Pattern recognition,Three-dimensional face recognition,Object-class detection,Computer science,Image processing,Motion blur,Image quality,Artificial intelligence,Image restoration,Face detection
Conference
Citations 
PageRank 
References 
3
0.37
14
Authors
4
Name
Order
Citations
PageRank
Christian Herrmann1314.27
Chengchao Qu2345.89
Dieter Willersinn3206.35
Jürgen Beyerer431575.37