Hyper-heuristics are high level improvement search methodologies exploring space of heuristics [4]. According to [5], hyper-heuristics can be categorized in many ways. A hyper-heuristic either selects from a set of available low level heuristics or generates new heuristics from components of existing low level heuristics to solve a problem, leading to a distinction between selection and generat...

In what ways is mammalian vision--and in particular, human vision--efficiently adapted to its ecology? We suggest that human visual artwork, which is made for the human eye, holds clues that could help answer this question. Paintings are readily perceived as representations of natural objects and scenes, yet statistical relationships between natural images and paintings are nontrivial. Although...

The objective of this work is to recognize object categories in paintings, such as cars, cows and cathedrals. We achieve this by training classifiers from natural images of the objects. We make the following contributions: (i) we measure the extent of the domain shift problem for image-level classifiers trained on natural images vs paintings, for a variety of CNN architectures; (ii) we demonstr...

The older paintings suffer from breaks in the substrate, the paint, or the varnish. When we digitized these paintings, they can be modified using mathematical algorithms and cracks are eliminated so as to maintain the quality. The field of computer vision is concerned with extracting features and information from images in order to make analysis of images easier, so that more and more informati...

A technique to digitally document and thereby permanently preserve prehistoric rock art has been developed. Laser scanning and texture mapping from digital images were used. Methods involving texture mapping require the exact relationships between the image and geometrical sensors. For geological structures, such as caves, the distinctive features required for registering the texture with the g...

This paper describes an automatic approach in archaeological photogrammetry for the documentation and recovery of rupestrian paintings. Visible and near-infrared images were taken from an opened-cave before and after moistening the stone wall. Digital image processing techniques, specially multispectral and multiband classifications, were used to recognise and extract nondestructively the primi...