@mastersthesis{MTMT:33713074,
	title = {Recognition of objects to grasp and Neuro-Prosthesis control},
	url = {https://m2.mtmt.hu/api/publication/33713074},
	author = {Fejér, Attila},
	doi = {10.15774/PPKE.ITK.2022.006},
	publisher = {PPKE},
	unique-id = {33713074},
	year = {2022},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723}
}

@article{MTMT:32675175,
	title = {Hybrid FPGA–CPU-Based Architecture for Object Recognition in Visual Servoing of Arm Prosthesis},
	url = {https://m2.mtmt.hu/api/publication/32675175},
	author = {Fejér, Attila and Nagy, Zoltán and Benois-Pineau, Jenny and Szolgay, Péter and de Rugy, Aymar and Domenger, Jean-Philippe},
	doi = {10.3390/jimaging8020044},
	journal-iso = {J IMAGING},
	journal = {JOURNAL OF IMAGING},
	volume = {8},
	unique-id = {32675175},
	issn = {2313-433X},
	year = {2022},
	pages = {44},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723; Nagy, Zoltán/0000-0002-0992-7123; Benois-Pineau, Jenny/0000-0003-0659-8894; de Rugy, Aymar/0000-0001-5645-3680; Domenger, Jean-Philippe/0000-0001-5398-9340}
}

@inproceedings{MTMT:32593151,
	title = {Array computing based system for visual servoing of neuroprosthesis of upper limbs},
	url = {https://m2.mtmt.hu/api/publication/32593151},
	author = {Fejér, Attila and Nagy, Zoltán and Benois-Pineau, Jenny and Szolgay, Péter and de Rugy, Aymar and Domenger, Jean-Philippe},
	booktitle = {2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)},
	doi = {10.1109/CNNA49188.2021.9610783},
	unique-id = {32593151},
	year = {2021},
	pages = {1-5},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723; Nagy, Zoltán/0000-0002-0992-7123}
}

@article{MTMT:32021068,
	title = {Implementation of Scale Invariant Feature Transform detector on FPGA for low‐power wearable devices for prostheses control},
	url = {https://m2.mtmt.hu/api/publication/32021068},
	author = {Fejér, Attila and Nagy, Zoltán and Benois‐Pineau, Jenny and Szolgay, Péter and Rugy, Aymar and Domenger, Jean‐Philippe},
	doi = {10.1002/cta.3025},
	journal-iso = {INT J CIRC THEOR APP},
	journal = {INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS},
	volume = {2021},
	unique-id = {32021068},
	issn = {0098-9886},
	year = {2021},
	eissn = {1097-007X},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723; Nagy, Zoltán/0000-0002-0992-7123}
}

@article{MTMT:33102783,
	title = {Evaluation of FPGA based SIFT implementation by using real-life examples},
	url = {https://m2.mtmt.hu/api/publication/33102783},
	author = {Fejér, Attila},
	journal-iso = {PHD PROC PPKE IT},
	journal = {PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS},
	volume = {15},
	unique-id = {33102783},
	issn = {2064-7271},
	year = {2020},
	pages = {135-138},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723}
}

@CONFERENCE{MTMT:32898134,
	title = {Image processing algorithms implementation on FPGA},
	url = {https://m2.mtmt.hu/api/publication/32898134},
	author = {Fejér, Attila},
	booktitle = {PhD PROCEEDINGSANNUAL ISSUES OF THEDOCTORAL SCHOOLFACULTY OF INFORMATION TECHNOLOGY & BIONICS (2019)},
	unique-id = {32898134},
	year = {2019},
	pages = {33},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723}
}

@misc{MTMT:31041050,
	title = {FPGA-based SIFT implementation},
	url = {https://m2.mtmt.hu/api/publication/31041050},
	author = {Fejér, Attila and Nagy, Zoltán and J., Benois-Pineau and Szolgay, Péter and A, de Rugy and J. P., Domenger},
	unique-id = {31041050},
	year = {2019},
	orcid-numbers = {Nagy, Zoltán/0000-0002-0992-7123}
}

@article{MTMT:31040679,
	title = {A comparison of different SIFT implementation for vision-guides prosthetic arms},
	url = {https://m2.mtmt.hu/api/publication/31040679},
	author = {Fejér, Attila and Nagy, Zoltán and Jenny, Benois-Pineau and Szolgay, Péter and Aymar, de Rugy and Jean-Philippe, Domenger},
	journal-iso = {JEDLIK LABOR REP},
	journal = {JEDLIK LABORATORIES REPORTS},
	volume = {7},
	unique-id = {31040679},
	issn = {2064-3942},
	year = {2019},
	pages = {19-20},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723; Nagy, Zoltán/0000-0002-0992-7123}
}

@inproceedings{MTMT:31039147,
	title = {FPGA-based SIFT implementation for wearable computing},
	url = {https://m2.mtmt.hu/api/publication/31039147},
	author = {Fejér, Attila and Nagy, Zoltán and Benois-Pineau, Jenny and Szolgay, Péter and de Rugy, Aymar and Domenger, Jean-Philippe},
	booktitle = {2019 IEEE 22nd International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)},
	doi = {10.1109/DDECS.2019.8724653},
	unique-id = {31039147},
	abstract = {The article describes the first steps to achieve control over a robotic or prosthetic arm based on analysis of visual environment acquired in real-time by video cameras on glasses and on the prosthesis. One of the main goals of the research is to develop a wearable, portable, lightweight, and low power consumption device for visual scene analysis. This paper will discuss the critical steps of its implementation on an FPGA board. We implemented some time-consuming parts of the SIFT algorithm needed for the analysis in C/C++ language on TUL PYNQ-Z2 FPGA board. This implementation allows for a low power consumption of the programmable logic part of the system. The obtained value is 0.274W. Processing capacity is 96.45 images per second on a small wearable size device which allow for the real-time implementation of the whole analysis in the future.},
	year = {2019},
	pages = {1-4},
	orcid-numbers = {Fejér, Attila/0000-0002-2680-4723; Nagy, Zoltán/0000-0002-0992-7123}
}