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Conference papers
Registration of RGB and thermal point clouds generated by structure from motion
Abstract : Thermal imaging has become a valuable tool in various fields for remote sensing and can provide relevant information to perform object recognition or classification. In this paper, we present an automated method to obtain a 3D model fusing data from a visible and a thermal camera. The RGB and thermal point clouds are generated independently by structure from motion. The registration process includes a normalization of the point cloud scale, a global registration based on calibration data and the output of the structure from motion, and a fine registration employing a variant of the Iterative Closest Point optimization. Experimental results demonstrate the accuracy and robustness of the overall process.
Cited literature [27 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-01625092
Contributor : Vincent Nozick <>
Submitted on : Friday, October 27, 2017 - 10:33:42 AM
Last modification on : Wednesday, February 26, 2020 - 7:06:07 PM
Document(s) archivé(s) le : Sunday, January 28, 2018 - 12:30:26 PM
Contributor : Vincent Nozick <>
Submitted on : Friday, October 27, 2017 - 10:33:42 AM
Last modification on : Wednesday, February 26, 2020 - 7:06:07 PM
Document(s) archivé(s) le : Sunday, January 28, 2018 - 12:30:26 PM
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