Local image descriptors play a crucial role in many image processing tasks, such as object
tracking, object recognition, panorama stitching, and image retrieval. In this paper, we focus …

Color design for interior circumstance is a challenging area due to the numerous aspects
that must be matched. Although learning from images is a popular method, it is most …

Ancient murals have suffered from continuous damage over time, and especially paint loss
disease. Therefore, disease labeling, as the basis for ancient mural restoration, plays an …

In the restoration process of classical paintings, one of the tasks is to map paint loss for
documentation and analysing purposes. Because this is such a sizable and tedious job …

In this paper, we propose an efficient method for learning local image descriptors suitable for
the use in image inpainting algorithms. We learn the descriptors using a convolutional …

In recent decades, cultural heritage research—and in particular art investigation—has been
undergoing a digital revolution. This is due both to improvements in the digitization and the …

In dit proefschrift bestuderen we hoe beelden kunnen worden voorgesteld op een
compactere manier die toch hun belangrijkste kenmerken vastlegt en de overeenkomsten …

Laurens Meeusa, Shaoguang Huanga, Nina Zizakica, Xianghui Xieb, Bart Devolderc,
Hélene Duboisd, Maximiliaan Martense, and Aleksandra Pizuricaa aGroup for Artificial …