Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction Pipeline

Silvio Giancola, Jens Schneider, Peter Wonka, Bernard Ghanem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we show how absolute orientation measurements provided by low-cost but high-fidelity IMU sensors can be integrated into the KinectFusion pipeline. We show that integration improves both runtime, robustness and quality of the 3D reconstruction. In particular, we use this orientation data to seed and regularize the ICP registration technique. We also present a technique to filter the pairs of 3D matched points based on the distribution of their distances. This filter is implemented efficiently on the GPU. Estimating the distribution of the distances helps control the number of iterations necessary for the convergence of the ICP algorithm. Finally, we show experimental results that highlight improvements in robustness, a speed-up of almost 12%, and a gain in tracking quality of 53% for the ATE metric on the Freiburg benchmark.
Original languageEnglish (US)
Title of host publication2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1567-1576
Number of pages10
ISBN (Print)9781538661000
DOIs
StatePublished - Dec 18 2018

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