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

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dc.contributor.authorKechagias-Stamatis, Odysseas
dc.contributor.authorAouf, Nabil
dc.contributor.authorChermak, Lounis
dc.date.accessioned2017-08-07T13:07:07Z
dc.date.available2017-08-07T13:07:07Z
dc.date.issued2017-08-03
dc.description.abstract3D 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.identifier.citationO. 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. 37-42en_UK
dc.identifier.urihttps://doi.org/10.1109/ICNSC.2017.8000064
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/12281
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject3D object recognitionen_UK
dc.subject3D binary descriptoren_UK
dc.titleB-HoD: A Lightweight and Fast Binary descriptor for 3D Object Recognition and Registrationen_UK
dc.typeConference paperen_UK

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