Abstract: Finding sparse correspondences between two images is a usual process needed for several higher-level computer vision tasks.
These correspondences can be used as a less-noisy input for the localisation process. Group-wise correspondences are computed by finding the common labelling of ...
These correspondences can be used as a less-noisy input for the localisation process. Group-wise correspondences are computed by finding the common labelling of ...
GROUP-WISE SPARSE CORRESPONDENCES BETWEEN IMAGES BASED ON A COMMON LABELLING. APPROACH. 271. instead of . . To this aim, we define the energy of a. group ...
Finding sparse correspondences between two images is a usual process needed for several higher-level computer vision tasks.
This work presents a groupwise registration algorithm which can take advantage of the statistics of both the image intensities and the range of shapes ...
Abstract—Groupwise image registration algorithms seek to establish dense correspondences between sets of images. Typically they involve iteratively ...
Jun 15, 2011 · One of the most popular approaches for groupwise registration is to iteratively calculate the group mean image and then register all subject ...
Abstract. This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important ...
We present a novel groupwise image registration method for quantitative MRI. Two PCA-based dissimilarity metrics, robust to changes in contrast, are proposed.
Missing: Common Labelling