His primary areas of study are Artificial intelligence, Spoofing attack, Computer vision, Biometrics and Facial recognition system. The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition. His Spoofing attack study combines topics in areas such as Deep learning and Face detection.
His work in the fields of Computer vision, such as Image resolution and Digital image, overlaps with other areas such as Scale. His Biometrics study incorporates themes from Fingerprint recognition and Authentication. Anderson Rocha interconnects Image processing, Replay attack and Computer security in the investigation of issues within Facial recognition system.
Anderson Rocha spends much of his time researching Artificial intelligence, Machine learning, Computer vision, Pattern recognition and Image. His study in Feature extraction, Biometrics, Deep learning, Facial recognition system and Face is carried out as part of his studies in Artificial intelligence. His research in Biometrics intersects with topics in Mobile device, Spoofing attack and Authentication.
His studies in Machine learning integrate themes in fields like Classifier and Image fusion. His work carried out in the field of Pattern recognition brings together such families of science as Contextual image classification, Bag-of-words model in computer vision, Categorization and Image processing. His Image research integrates issues from Theoretical computer science, Information retrieval and Data mining.
His main research concerns Artificial intelligence, Machine learning, Biometrics, Human–computer interaction and Task analysis. The study incorporates disciplines such as Computer vision and Pattern recognition in addition to Artificial intelligence. His study explores the link between Pattern recognition and topics such as Fisher vector that cross with problems in Data-driven.
His Biometrics study integrates concerns from other disciplines, such as Face, Synthetic data and Presentation. His research integrates issues of Violence detection, Relation, Mobile device and Authentication in his study of Human–computer interaction. His Task analysis research is multidisciplinary, relying on both Feature extraction, Prediction algorithms and Data science.
Anderson Rocha focuses on Artificial intelligence, Machine learning, In patient, Computer vision and Metabolomics. Anderson Rocha performs multidisciplinary studies into Artificial intelligence and Identity in his work. His Maximum mean discrepancy research extends to the thematically linked field of Machine learning.
Other disciplines of study, such as Risk management, Coronavirus disease 2019, Diagnostic methods, Risk assessment and Paracoccidioidomycosis, are mixed together with his In patient studies. His Face Presentation, Biometrics and Image study in the realm of Computer vision interacts with subjects such as Surface. His study in Deep learning is interdisciplinary in nature, drawing from both Test, Range and Benchmark.
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.
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
David Menotti;Giovani Chiachia;Allan Pinto;William Robson Schwartz.
IEEE Transactions on Information Forensics and Security (2015)
Vision of the unseen: Current trends and challenges in digital image and video forensics
Anderson Rocha;Walter Scheirer;Terrance Boult;Siome Goldenstein.
ACM Computing Surveys (2011)
Automatic fruit and vegetable classification from images
Anderson Rocha;Daniel C. Hauagge;Jacques Wainer;Siome Goldenstein.
Computers and Electronics in Agriculture (2010)
Competition on counter measures to 2-D facial spoofing attacks
Murali Mohan Chakka;Andre Anjos;Sebastien Marcel;Roberto Tronci.
International Journal of Central Banking (2011)
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
W J Scheirer;A Rocha;R J Micheals;T E Boult.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)
Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches
Anderson Rocha;Siome Klein Goldenstein.
IEEE Transactions on Neural Networks (2014)
Authorship Attribution for Social Media Forensics
Anderson Rocha;Walter J. Scheirer;Christopher W. Forstall;Thiago Cavalcante.
IEEE Transactions on Information Forensics and Security (2017)
Going deeper into copy-move forgery detection
Ewerton Silva;Tiago Carvalho;Anselmo Ferreira;Anderson Rocha.
Journal of Visual Communication and Image Representation (2015)
Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection
A. Rocha;T. Carvalho;H. F. Jelinek;S. Goldenstein.
IEEE Transactions on Biomedical Engineering (2012)
Face liveness detection under bad illumination conditions
Bruno Peixoto;Carolina Michelassi;Anderson Rocha.
international conference on image processing (2011)
Profile was last updated on December 6th, 2021.
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