21 citations · 24 across the 4 of their papers we have counts for
5 papers
Quantifying spatial, temporal, angular and spectral structure of effective daylight in perceptually meaningful ways
Cehao Yu, Maarten Wijntjes, Elmar Eisemann +1
We present a method to capture the 7-dimensional light field structure, and translate it into perceptually-relevant information. Our spectral cubic illumination method quantifies o…
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision
Mitchell J. P. van Zuijlen, Hubert Lin, Kavita Bala +2
A painter is free to modify how components of a natural scene are depicted, which can lead to a perceptually convincing image of the distal world. This signals a major difference b…
Insights From A Large-Scale Database of Material Depictions In Paintings
Hubert Lin, Mitchell Van Zuijlen, Maarten W. A. Wijntjes +2
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 the give-and-take relationsh…
Sketch-and-test: picture-centered research with p5.js assisted crowdsourcing
Maarten W. A. Wijntjes, Mitchell van Zuijlen
Relating human judgements to pictures is central to a wide variety of scientific disciplines. Pictures are used to evoke and study faculties of the human mind, while human input is…
Annotating shadows, highlights and faces: the contribution of a 'human in the loop' for digital art history
Maarten W. A. Wijntjes
While automatic computational techniques appear to reveal novel insights in digital art history, a complementary approach seems to get less attention: that of human annotation. We…