What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Operating system
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 most cited work include:
- Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition (290 citations)
- Ear biometrics: a survey of detection, feature extraction and recognition methods (160 citations)
- Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey (149 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Artificial intelligence (65.04%)
- Biometrics (62.68%)
- Pattern recognition (35.51%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (65.04%)
- Biometrics (62.68%)
- Facial recognition system (23.37%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Demographic Bias in Biometrics: A Survey on an Emerging Challenge (48 citations)
- Biometric Presentation Attack Detection: Beyond the Visible Spectrum (36 citations)
- Deep Face Representations for Differential Morphing Attack Detection (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer vision
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.
