3D map generation based on keyframes selection and keypoints tracking

Jose A. Gonzalez-Fraga; Vitaly Kober; Omar Alvarez-Xochihua

doi:10.1117/12.2528961

6 September 2019 3D map generation based on keyframes selection and keypoints tracking

Jose A. Gonzalez-Fraga, Vitaly Kober, Omar Alvarez-Xochihua

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 111371B (2019) https://doi.org/10.1117/12.2528961
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

There are several factors that affect the performance of a 3D scene reconstruction system. Among them the most important are the choice of feature detectors and descriptors, number of visual features and correct match between them, reliable tracking of the correspondences along selected keyframes.

In this work, we propose a fast method for generation of a 3D map from the time sequence of RGB-D images selecting the minimum number of keypoints and keyframes that still ensures correct feature correspondences and as a result a high quality of the 3D map. The performance of the proposed algorithm of the 3D scene reconstruction is evaluated by computer simulation using real indoor environment data.

Citation Download Citation

Jose A. Gonzalez-Fraga, Vitaly Kober, and Omar Alvarez-Xochihua "3D map generation based on keyframes selection and keypoints tracking", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111371B (6 September 2019); https://doi.org/10.1117/12.2528961

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