… Dense image alignment (also known as image registration) is one of the fundamental vision
… from panorama stitching to optical flow. Classic work on image alignment can be broadly …

… the inverse compositional image alignment of [1, … optical flow methods are strongly linked
to image resolution, we incrementally speed-up all baselines by downscaling the input images …

… image level, resulting in an integrated image in which the in-plane BIM blurring is compensated
prior to particle picking. The methodology is based on a robust Optical Flow … Optical Flow …

… The ODP algorithm can be easily extended to the alignment of multi-band images simply by
extending the pixel to pixel difference in the local matching residue definition. This extension …

… whole slide image using optical flow-based image registration with global alignment using
a computationally tractable graph-pruning approach. In the first stage, we train an optical flow …

… In four of the five pairs of images used to test the performance of the optical flow method,
the volumes were misaligned due to poor patient positioning and field-of-view differences. The …

… Collection Flow [18] also uses a … optical flow) that align between each image and its low-rank
projection at each iteration (their application domain is faces, where the coarse alignment is …

… between the two images. Image alignment is initiated by preprocessing the images, using
a … offset field and enhances the edges in the image. The effect of this filtering is to make the …

… We also apply SIFT flow back to the regime of traditional image alignment, such as satellite
… In fact, even when we apply optical flow to two adjacent frames in a video sequence, we …

… This algorithm is based on a least squares fitting of the modified optical flow constraints. No
… illumination changes, since the modified optical flow constraint accounts for the illumination …