2023 - Research.com Computer Science in Norway Leader Award
2022 - Research.com Computer Science in Norway Leader Award
Christoph Busch focuses on Biometrics, Artificial intelligence, Computer vision, Feature extraction and Facial recognition system. His Biometrics research is multidisciplinary, incorporating elements of Word error rate, Data mining, Feature and Bloom filter. His Artificial intelligence study frequently links to other fields, such as Pattern recognition.
His Computer vision study combines topics in areas such as Process, Convolutional neural network and Robustness. His Feature extraction research integrates issues from Segmentation, Pixel, Speech recognition, Hidden Markov model and Authentication. His studies in Facial recognition system integrate themes in fields like Light-field camera, Data science and Vulnerability.
His scientific interests lie mostly in Artificial intelligence, Biometrics, Pattern recognition, Computer vision and Feature extraction. His study in Facial recognition system, Face, Iris recognition, Fingerprint recognition and Word error rate is carried out as part of his studies in Artificial intelligence. His work deals with themes such as Morphing, Robustness and Vulnerability, which intersect with Facial recognition system.
His Iris recognition research incorporates themes from IRIS, Iris and Bloom filter. In his study, which falls under the umbrella issue of Biometrics, Search engine indexing is strongly linked to Data mining. Spoofing attack is closely connected to Presentation in his research, which is encompassed under the umbrella topic of Pattern recognition.
His primary scientific interests are in Artificial intelligence, Biometrics, Facial recognition system, Pattern recognition and Face. His work focuses on many connections between Artificial intelligence and other disciplines, such as Computer vision, that overlap with his field of interest in Visualization. His Biometrics study deals with the bigger picture of Computer security.
Christoph Busch combines subjects such as Spoofing attack, Morphing, Data science and Access control with his study of Facial recognition system. The Pattern recognition study combines topics in areas such as Pixel and Metric. His research integrates issues of Image quality and Vulnerability in his study of Face.
Artificial intelligence, Biometrics, Facial recognition system, Pattern recognition and Face are his primary areas of study. His work in Artificial intelligence tackles topics such as Computer vision which are related to areas like Plastic surgery. Christoph Busch has included themes like Word error rate, Presentation, Fingerprint, Fingerprint recognition and Feature vector in his Biometrics study.
His Facial recognition system study incorporates themes from Spoofing attack, Morphing and Data science. His biological study spans a wide range of topics, including Face Presentation, Image properties and Detection performance. In his study, Process, Pixel and Landmark is strongly linked to Vulnerability, which falls under the umbrella field of Face.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition
Mohammad Omar Derawi;Claudia Nickel;Patrick Bours;Christoph Busch.
intelligent information hiding and multimedia signal processing (2010)
Ear biometrics: a survey of detection, feature extraction and recognition methods
Anika Pflug;Christoph Busch.
IET Biometrics (2012)
Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey
Raghavendra Ramachandra;Christoph Busch.
ACM Computing Surveys (2017)
Integer DCT-based reversible watermarking for images using companding technique
Bian Yang;Martin Schmucker;Wolfgang Funk;Christoph Busch.
conference on security steganography and watermarking of multimedia contents (2004)
Smartphone based visible iris recognition using deep sparse filtering
Kiran B. Raja;R. Raghavendra;Vinay Krishna Vemuri;Christoph Busch.
Pattern Recognition Letters (2015)
Presentation attack detection methods for fingerprint recognition systems: a survey
Ctirad Sousedik;Christoph Busch.
IET Biometrics (2014)
Digital watermarking: from concepts to real-time video applications
C. Busch;W. Funk;S. Wolthusen.
IEEE Computer Graphics and Applications (1999)
Reversible watermarking of 2D-vector data
Michael Voigt;Bian Yang;Christoph Busch.
acm workshop on multimedia and security (2004)
Presentation Attack Detection for Face Recognition Using Light Field Camera
R. Raghavendra;Kiran B. Raja;Christoph Busch.
IEEE Transactions on Image Processing (2015)
Authentication of Smartphone Users Based on the Way They Walk Using k-NN Algorithm
Claudia Nickel;Tobias Wirtl;Christoph Busch.
intelligent information hiding and multimedia signal processing (2012)
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