B-HoD: A Lightweight and Fast Binary descriptor for 3D Object Recognition and Registration

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dc.contributor.author Kechagias-Stamatis, Odysseas
dc.contributor.author Aouf, Nabil
dc.contributor.author Chermak, Lounis
dc.date.accessioned 2017-08-07T13:07:07Z
dc.date.available 2017-08-07T13:07:07Z
dc.date.issued 2017-08-03
dc.identifier.citation O. Kechagias-Stamatis, N. Aouf and L. Chermak (2017). B-HoD: A lightweight and fast binary descriptor for 3D object recognition and registration, IEEE 14th International Conference on Networking, Sensing and Control (ICNSC), Calabria, Italy, 2017, pp. 37-42 en_UK
dc.identifier.uri https://doi.org/10.1109/ICNSC.2017.8000064
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/12281
dc.description.abstract 3D object recognition and registration in computer vision applications has lately drawn much attention as it is capable of superior performance compared to its 2D counterpart. Although a number of high performing solutions do exist, it is still challenging to further reduce processing time and memory requirements to meet the needs of time critical applications. In this paper we propose an extension of the 3D descriptor Histogram of Distances (HoD) into the binary domain named the Binary-HoD (B-HoD). Our binary quantization procedure along with the proposed preprocessing step reduce an order of magnitude both processing time and memory requirements compared to current state of the art 3D descriptors. Evaluation on two popular low quality datasets shows its promising performance. en_UK
dc.publisher IEEE en_UK
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.subject 3D object recognition en_UK
dc.subject 3D binary descriptor en_UK
dc.title B-HoD: A Lightweight and Fast Binary descriptor for 3D Object Recognition and Registration en_UK
dc.type Conference paper en_UK

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