Keywords: Image point reprojection; error measurements; heat equation
Proceedings of SIGRAD 2015, June 1st and 2nd, Stockholm, Sweden
[BK10] BRONSTEIN M. M., KOKKINOS I.: Scale-invariant heat kernel signatures for non-rigid shape recognition. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on (2010), IEEE, pp. 1704–1711. 3
[JMF99] JAIN A. K., MURTY M. N., FLYNN P. J.: Data clustering: a review. ACM computing surveys (CSUR) 31, 3 (1999), 264–323. 2
[Jol05] JOLLIFFE I.: Principal component analysis. Wiley Online Library, 2005. 2
[Lin93] LINDEBERG T.: Scale-space theory in computer vision. Springer, 1993. 1, 2
[MDWL14] MOLIN J., DEVAN K. S., WÅRDELL K., LUNDSTRÖM C.: Feature-enhancing zoom to facilitate ki-67 hot spot detection. In SPIE Medical Imaging (2014), International Society for Optics and Photonics, pp. 90410W–90410W. 1
[WF09] WILKINSON L., FRIENDLY M.: The history of the cluster heat map. The American Statistician 63, 2 (2009). 2
[Zha00] ZHANG Z.: A flexible new technique for camera calibration. Pattern Analysis and Machine Intelligence, IEEE Transactions on 22, 11 (2000), 1330–1334. 1, 2