Computation of component image velocity from local phase information
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
International Journal of Computer Vision
Signal Processing for Computer Vision
Signal Processing for Computer Vision
An Extended Class of Scale-Invariant and Recursive Scale Space Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Loglets: generalized quadrature and phase for local spatio-temporal structure estimation
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
Motion analysis and segmentation through spatio-temporal slices processing
IEEE Transactions on Image Processing
Accurate dense optical flow estimation using adaptive structure tensors and a parametric model
IEEE Transactions on Image Processing
Fundamental performance limits in image registration
IEEE Transactions on Image Processing
Pixelwise-adaptive blind optical flow assuming nonstationary statistics
IEEE Transactions on Image Processing
Wavelet-based optical flow estimation
IEEE Transactions on Circuits and Systems for Video Technology
Study of strength tests with computer vision techniques
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
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Since the publication of the comparative study done by Barron et al. on optical flow estimation, a race was started to achieve more and more accurate and dense velocity fields. For comparison a few synthetic image sequences has been used. The most complex of these is the Yosemite Flying sequence that contains both a diverging field, occlusion and multiple motions at the horizon. About 10 years ago it was suggested to remove the sky region because the correct flow used in earlier work was not found to be the real ground truth for this region. In this paper we present a study of the sky region in this test sequence, and discuss its usefulness for evaluation of optical flow estimation.