ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Generalized least squares-based parametric motion estimation
Computer Vision and Image Understanding
Feature-Driven Direct Non-Rigid Image Registration
International Journal of Computer Vision
Hi-index | 0.00 |
Direct image registration methods usually treat shadows as outliers. We propose a method which registers images in a 1D shadow invariant space. Shadow invariant image formation is possible by projecting color images, expressed in a log-chromaticity space, onto an 'intrinsic line'. The slope of the line is a camera dependent parameter, usually obtained in a prior calibration step. In this paper, calibration is avoided by jointly determining the 'invariant slope' with the registration parameters. The method deals with images taken by different cameras by using a different slope for each image and compensating for photometric variations. Prior information about the camera is, thus, not required. The method is assessed on synthetic and real data.