This report presents an algorithm which matches photographs of paintings to a small database. The algorithm uses a modified SIFT approach to match keypoints between paintings. The algorithm is somewhat invariant to size and rotation, highly invariant to perspective change and noise, and can tolerate multiple images in the field of view. Significant optimization was performed, leading to a typic...

Usually it is accepted that human manifestations such as music or painting share a common artistic trait. However, very little is known about the genetic, behavioral, developmental and neurobiological basis of such a musical-pictorial "universal". In an attempt to approach commonalities and differences between the psychology of music and pictorial art in Experiment 1 we investigated the emotion...

Deep learning has paved the way for strong recognition systems which are often both trained on and applied to natural images. In this paper, we examine give-and-take relationship between such visual rich information available in fine arts. First, find that designed images can work surprisingly well paintings. particular, interactive segmentation tools be used cleanly annotate polygonal segments...

abstract  the discovery of cave paintings made by upper paleolithic artists in western europe was an astonishing find about the human past. they were discovered in the late nineteenth century and involved the scientific community with the new subject under the title of prehistory art. since the discovery of the astonishing relics, several theories proposed by different specialists with special ...

Most question answering systems use symbolic or text information. We present a dataset for a task that requires understanding descriptions of visual themes and their layout: identifying paintings from their descriptions. We annotate paintings with contour data, align regions with entity mentions from an ontology, and associate image regions with text spans from descriptions. A simple embedding-...

The paper presents an interactive painting system for generating high quality and artistic calligraphy characters and black ink paintings. The system is based on our original algorithm that is unique in physically simulating the dynamic diffusion of liquid ink into absorbent painting paper. The algorithm creates remarkably realistic strokes efficiently. For rendering 20 strokes in different siz...

The diversity of painting styles represents a rich visual vocabulary for the construction of an image. The degree to which one may learn and parsimoniously capture this visual vocabulary measures our understanding of the higher level features of paintings, if not images in general. In this work we investigate the construction of a single, scalable deep network that can parsimoniously capture th...

This paper describes the results of experiments carried out at the National Gallery in London, comparing original paintings with printed colour reproductions made by processing digital images captured by a high resolution digital camera. A pairwise comparison method was used for three paintings under several different illumination conditions with a panel of observers. The results indicate that ...

We address the problem of mitigating the visually displeasing effects of cradling in X-ray images of panel paintings. The proposed algorithm consists of three stages. In the first stage the location of the cradling is detected semi-automatically and the grayscale inconsistency, caused by the thickness of the cradling, is adjusted. In a second stage we use a blind source separation method to dec...