An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals

In this paper, we examine a novel data augmentation (DA) method that transforms an image into a new image containing multiple rotated copies of the original image. The DA method creates a grid of $n \times n$ cells, in which each cell contains a different randomly rotated image and introduces a natu...

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Bibliographic Details
Main Authors: Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering
Format: Article
Language:English
Published: Taylor & Francis Group 2018-10-01
Series:Journal of Information and Telecommunication
Subjects:
Online Access:http://dx.doi.org/10.1080/24751839.2018.1479932