Title:	Impact of Calibration Matrices on 3D Monocular Object Detection: Filtering, Dataset Combination and Integration of Synthetic Data
Authors:	Evain, Alexandre Khemmar, Redouane Orzalesi, Mathieu Ahmedali, Sofiane
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 291-298.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57402
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	3D detekce monokulárních objektů 3;kombinace datasetů;počítačové vidění;kalibrační matice fotoaparátu;ohnisková vzdálenost;filtrování datasetu;normalizace datové sady
Keywords in different language:	3D Monocular Object Detection;dataset combination;computer vision;Camera Calibration Matrix;focal length;dataset filtering;dataset normalization
Abstract in different language:	This research is funded and supported by SEGULA Technologies. We would like to thank SEGULA Tech nologies for their collaboration and for allowing us to conduct this research. We would like to thank also the engineers of the Autonomous Navigation Laboratory (ANL) of IRSEEM for their support. In addition, this work was performed, in part, on computing resources provided by CRIANN (Centre Regional Informatique et d’Applications Numeriques de Normandie, Normandy, France.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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