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Influence of Colour and Feature Geometry on Multi-modal 3D Point Clouds Data Registration

Kim, H and Hilton, A (2014) Influence of Colour and Feature Geometry on Multi-modal 3D Point Clouds Data Registration In: 3DV, 2014-12-08 - ?, Tokyo, Japan.

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Abstract

With the current transition of various digital contents from 2D to 3D, the problem of 3D data matching and registration is increasingly important. Registration of multimodal 3D data acquired from different sensors remains a challenging problem due to the difference in types and characteristics of the data. In this paper, we evaluate the registration performance of 3D feature descriptors with different domains on datasets from various environments and modalities. Datasets are acquired in indoor and outdoor environments with 2D and 3D sensing devices including LIDAR, spherical imaging, digital camera and RGBD camera. FPFH, PFH and SHOT feature descriptors are applied to the 3D point clouds generated from the multi-modal datasets. Local neighbouring point distribution, keypoints distribution, colour information and their combinations are used for feature description. Finally we analyse their influences on the multi-modal 3D point clouds data registration.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Kim, Hh.kim@surrey.ac.ukUNSPECIFIED
Hilton, AUNSPECIFIEDUNSPECIFIED
Date : 11 December 2014
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:37
Last Modified : 17 May 2017 15:12
URI: http://epubs.surrey.ac.uk/id/eprint/839886

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