DALib: A curated repository of libraries for data augmentation in computer vision
This research focuses on the exploration of the most widely adopted libraries specifically designed for data augmentation in computer vision tasks. Through a curated taxonomy, we present an organized classification of different approaches employed by these libraries, along with accompanying application examples.
Evaluating the performance of Structure from Motion Pipelines
Structure from Motion (SfM) is a pipeline that allows three-dimensional reconstruction starting from a collection of images. We also propose an evaluation procedure that stresses the SfM pipelines using real dataset acquired with high-end devices as well as realistic synthetic dataset. To this end, we publish a dataset to be used in the evaluation.