O
Oleg Starostenko
Researcher at Universidad de las Américas Puebla
Publications - 104
Citations - 816
Oleg Starostenko is an academic researcher from Universidad de las Américas Puebla. The author has contributed to research in topics: Image retrieval & Visual Word. The author has an hindex of 13, co-authored 103 publications receiving 706 citations. Previous affiliations of Oleg Starostenko include Benemérita Universidad Autónoma de Puebla.
Papers
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Journal ArticleDOI
Optical 3D laser measurement system for navigation of autonomous mobile robot
Luis C. Basaca-Preciado,Oleg Sergiyenko,Julio C. Rodriguez-Quinonez,Xochitl García,Vera Tyrsa,Moises Rivas-Lopez,Daniel Hernandez-Balbuena,Paolo Mercorelli,Mikhail A. Podrygalo,Alexander Gurko,Irina Tabakova,Oleg Starostenko +11 more
TL;DR: This paper proposes a robot navigation system which works using a high accuracy localization scheme by dynamic triangulation by integrating two principal systems, 3D laser scanning technical vision system (TVS) and mobile robot (MR) navigation system.
Journal ArticleDOI
Breaking text-based CAPTCHAs with variable word and character orientation
TL;DR: The obtained very satisfactory results confirm that the proposed approach may be used for development of new security mechanisms to protect users against cyber-criminal activities and Internet threats.
Proceedings ArticleDOI
Wavelet-based smoke detection in outdoor video sequences
R. Gonzalez-Gonzalez,Vicente Alarcon-Aquino,Roberto Rosas-Romero,Oleg Starostenko,Jorge Rodríguez-Asomoza,Juan Manuel Ramirez-Cortes +5 more
TL;DR: Experimental results show that multi-resolution wavelet analysis is more accurate than the traditional low-pass filters on this application.
Book ChapterDOI
Breaking reCAPTCHAs with unpredictable collapse: heuristic character segmentation and recognition
Claudia Cruz-Perez,Oleg Starostenko,Fernando Uceda-Ponga,Vicente Alarcon-Aquino,Leobardo Reyes-Cabrera +4 more
TL;DR: A novel approach for automatic segmentation and recognition of reCAPTCHA in Web sites based on CAPTCHA image preprocessing with character alignment, morphological segmentation with three-color bar character encoding and heuristic recognition is presented.
Proceedings ArticleDOI
Algoritmic music composition based on artificial intelligence: A survey
TL;DR: A taxonomy of the Artificial Intelligence methods currently applied for algorithmic music composition is presented and several research projects of the last seven years are summarized and highlight the directions of music composition based on AI techniques.