A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
Published: May 1, 2014
Abstract
We introduce the Imperial College London and National University of Ireland Maynooth (ICL-NUIM) dataset for the evaluation of visual odometry, 3D reconstruction and SLAM algorithms that typically use RGB-D data. We present a collection of handheld RGB-D camera sequences within synthetically generated environments. RGB-D sequences with perfect ground truth poses are provided as well as a ground truth surface model that enables a method of...
Paper Details
Title
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
Published Date
May 1, 2014
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