Image congealing via efficient feature selection

摘要

A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.

主权项

1. A method, comprising:
integrating an unsupervised feature selection algorithm with a least-square based congealing algorithm; selecting a subset of features from an initial feature representation with the unsupervised feature selection algorithm; and executing the least-square based congealing algorithm to estimate warping parameters for a plurality of images in an ensemble using the subset of features.