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Registration of images to unorganized 3D point clouds using contour cues

Autor
Pujol, A.; Ruiz-Hidalgo, J.; Casas, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
25th European Signal Processing Conference
Any de l'edició
2017
Data de presentació
2017-08-29
Llibre d'actes
2017 25th European Signal Processing Conference: EUSIPCO 2017: Kos, Greece: 28 August-2 September 2017
Pàgina inicial
81
Pàgina final
85
Editor
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.23919/EUSIPCO.2017.8081173 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/110974 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/8081173/ Obrir en finestra nova
Resum
Low resolution commercial 3D sensors contribute to computer vision tasks even better when the analysis is carried out in a combination with higher resolution image data. This requires registration of 2D images to unorganized 3D point clouds. In this paper we present a framework for 2D-3D data fusion to obtain directly the camera pose of a 2D color image in relation to a 3D point cloud. It includes a novel multiscale intensity feature detection algorithm and a modified ICP procedure based on poin...
Citació
Pujol, A., Ruiz-Hidalgo, J., Casas, J. Registration of images to unorganized 3D point clouds using contour cues. A: European Signal Processing Conference. "25th European Signal Processing Conference, EUSIPCO 2017, Kos, Greece, August 28-September 2, 2017". Kos: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 81-85.
Paraules clau
Feature extraction, Image registration, Iterative closest point algorithm, Stereo vision
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

Arxius