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Christoph Busch
Researcher at Darmstadt University of Applied Sciences
Publications - 651
Citations - 12841
Christoph Busch is an academic researcher from Darmstadt University of Applied Sciences. The author has contributed to research in topics: Biometrics & Facial recognition system. The author has an hindex of 46, co-authored 585 publications receiving 9624 citations. Previous affiliations of Christoph Busch include Escuela Superior Politecnica del Litoral & University of Osnabrück.
Papers
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Proceedings ArticleDOI
Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition
TL;DR: The performance when the data is collected with a commercially available mobile device containing low-grade accelerometers, including the Google G1 phone containing the AK8976A embedded accelerometer sensor is reported.
Journal ArticleDOI
Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey
TL;DR: This paper describes the various aspects of face presentation attacks, including different types of face artifacts, state-of-the-art PAD algorithms and an overview of the respective research labs working in this domain, vulnerability assessments and performance evaluation metrics, the outcomes of competitions, the availability of public databases for benchmarking new P AD algorithms in a reproducible manner, and a summary of the relevant international standardization in this field.
Journal ArticleDOI
Ear biometrics: a survey of detection, feature extraction and recognition methods
Anika Pflug,Christoph Busch +1 more
TL;DR: This survey categorise and summarise approaches to ear detection and recognition in 2D and 3D images, and provides an outlook over possible future research in the field of ear recognition, in the context of smart surveillance and forensic image analysis, which the authors consider to be the most important application ofEar recognition characteristic in the near future.
Journal ArticleDOI
Face Recognition Systems Under Morphing Attacks: A Survey
TL;DR: A conceptual categorization and metrics for an evaluation of such methods are presented, followed by a comprehensive survey of relevant publications, and technical considerations and tradeoffs of the surveyed methods are discussed.
Journal ArticleDOI
Presentation Attack Detection for Face Recognition Using Light Field Camera
TL;DR: This paper presents a novel approach that involves exploring the variation of the focus between multiple depth images rendered by the LFC that in turn can be used to reveal the presentation attacks.