A software test bed for sharing and evaluating color transfer algorithms for images and 3D objects

Over the past decades, an overwhelming number of scientific contributions have been published related to the topic of color transfer, where the color statistic of an image is transferred to another image. Recently, this idea was further extended to 3D point clouds. Due to the fact that the results are normally evaluated subjectively, an objective comparison of multiple algorithms turns out to be difficult. Therefore, this paper introduces the ColorTransferLab, a web based test bed that offers a large set of state-of-the-art color transfer implementations. Furthermore, it allows users to integrate their implementations with the ultimate goal of providing a library of state-of-the-art algorithms for the scientific community. This test bed can manipulate both 2D images, 3D point clouds and textured triangle meshes, and it allows us to objectively evaluate and compare color transfer algorithms by providing a large set of objective metrics. As part of ColorTransferLab, we are introducing a comprehensive dataset of freely available images. This dataset comprises a diverse range of content with a wide array of color distributions, sizes, and color depths which helps in appropriately evaluating color transfer. Its comprehensive nature makes it invaluable for accurately evaluating color transfer methods.