Automatic, fast, online calibration between depth and color cameras. Mikhelson, I. V., Lee, P. G., Sahakian, A. V., Wu, Y., & Katsaggelos, A. K. Journal of Visual Communication and Image Representation, 25(1):218–226, jan, 2014. Paper doi abstract bibtex Automatic camera calibration has remained a hard topic in computer vision since its inception due to its reliance on the image correspondence problem. This problem becomes even more pronounced when calibrating a depth image with a color image due to a lack of simple correspondences between the two modalities. In this work, we develop a completely automatic, very fast, online algorithm that demonstrates how a consumer-grade depth camera can be calibrated with a color camera with minimal user interaction. © 2013 Elsevier Inc. All rights reserved.
@article{Ilya2014,
abstract = {Automatic camera calibration has remained a hard topic in computer vision since its inception due to its reliance on the image correspondence problem. This problem becomes even more pronounced when calibrating a depth image with a color image due to a lack of simple correspondences between the two modalities. In this work, we develop a completely automatic, very fast, online algorithm that demonstrates how a consumer-grade depth camera can be calibrated with a color camera with minimal user interaction. {\textcopyright} 2013 Elsevier Inc. All rights reserved.},
author = {Mikhelson, Ilya V. and Lee, Philip G. and Sahakian, Alan V. and Wu, Ying and Katsaggelos, Aggelos K.},
doi = {10.1016/j.jvcir.2013.03.010},
issn = {10473203},
journal = {Journal of Visual Communication and Image Representation},
keywords = {Automatic,Calibration,Color cameras,Depth cameras,Fast,Online,Point cloud,Point correspondence},
month = {jan},
number = {1},
pages = {218--226},
title = {{Automatic, fast, online calibration between depth and color cameras}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1047320313000503},
volume = {25},
year = {2014}
}
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