caa a22 4500 605540519 CHVBK 20210128100912.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00371-013-0916-z doi (NATIONALLICENCE)springer-10.1007/s00371-013-0916-z Color correction based on point clouds alignment in the logarithmic RGB space [Elektronische Daten] [Beibei Li, Guang Jiang, Wenjian Shao] Color distortion which is caused by different illuminations and different camera settings in imaging process, incurs many problems. To overcome these problems, color correction is required. In this paper, a novel method for point cloud alignment-based color correction is proposed to eliminate unwanted color variation between images of the same or similar scenes automatically. The method is based on the Lambertian reflection model. For the advantages inherent in the logarithmic representation of an image, we first project the RGB color space into the logarithmic color space; then, in the logarithmic color space, we prove that the point clouds of the same or similar objects in different images can be related by a 3D translation vector. Next, we seek to find an accurate translation vector to align corresponding point clouds; and finally, when the source image is transformed by the translation vector, it can exhibit a similar appearance to the reference image. Various experimental results verify the validity of the proposed algorithm. Springer-Verlag Berlin Heidelberg, 2014 Color correction nationallicence Lambertian reflection model nationallicence Color space nationallicence Point clouds nationallicence Li Beibei State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China aut Jiang Guang State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China aut Shao Wenjian State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China aut The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 257-270 0178-2789 31:3<257 2015 31 371 https://doi.org/10.1007/s00371-013-0916-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-013-0916-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Beibei State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Jiang Guang State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China aut NATIONALLICENCE 700 1- Shao Wenjian State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 257-270 0178-2789 31:3<257 2015 31 371