P
Paweł Forczmański
Researcher at West Pomeranian University of Technology
Publications - 82
Citations - 653
Paweł Forczmański is an academic researcher from West Pomeranian University of Technology. The author has contributed to research in topics: Facial recognition system & Discrete cosine transform. The author has an hindex of 13, co-authored 79 publications receiving 561 citations. Previous affiliations of Paweł Forczmański include Szczecin University of Technology & University of Szczecin.
Papers
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Journal Article
Data dimensionality reduction for face recognition
TL;DR: A few variants of a two-step approach, which involves Karhunen-Loeve Transform (KLT) and Linear Discriminant Analysis (LDA) are discussed, which gives a good approximation of the input data, however it requires a large number of eigenvalues.
Journal ArticleDOI
Comparative analysis of simple facial features extractors
TL;DR: A certain class of feature extractors for face recognition using this class of extractors is particularly efficient and fast, and can have straightforward implementations in software and hardware systems.
Book ChapterDOI
Robust stamps detection and classification by means of general shape analysis
TL;DR: The article presents current challenges in stamp detection problem, a crucial topic these days since more and more traditional paper documents are being scanned in order to be archived, sent through the net or just printed.
Journal Article
Facial images dimensionality reduction and recognition by means of 2DKLT
TL;DR: The experiments performed on several facial image databases showed that face recognition using this type of feature space dimensionality reduction is particularly convenient and efficient, giving high recognition performance.
Book ChapterDOI
Surveillance video stream analysis using adaptive background model and object recognition
Paweł Forczmański,Marcin Seweryn +1 more
TL;DR: The paper presents an idea of real-time video stream analysis which leads to the detection and tracking of suspicious objects that have been left unattended, which is one of the most crucial aspects to be taken into consideration during the development of visual surveillance system.