Associate Professor Kap Luk Chan, School of EEE, Nanyang Technological University,
: Transferring Aesthetic Values in Paintings to Photographs
Paintings are considered as visual depiction of the scene possessing high aesthetic values.
Such values have been extensively exploited in modern film making and photography.
work attempts to explore computationally fe
asible values that may describe the aesthetic
feel of visual attributes and develop algorithms for their transfer from paintings to
photographs. In the talk, we will cover our studies on landscape and portrait painting and
photographs and the algorithms th
at have been developed to enable such transfers.
particular, we will show the exemplar
based transfers of atmospheric effect in a landscape
painting to a landscape photograph and figure
ground relationship in a portrait painting to a
Kap Luk Chan received the Ph.D. degree in robot vision from the Imperial College of Science,
Technology, and Medicine, University of London, London, U.K., in 1991. He is currently an
Associate Professor with the School of Electrical and Electronic Engineering, Nanyang
Technological University, Singapore. His research interests are in image analysis and
computer vision, particularly in statistical image analysis, image and video retriev
application of machine learning in computer vision, computer vision for human
interaction, intelligent video surveillance and biomedical signal and image analysis. Dr. Chan
is a member of the IEEE, IET and PREMIA.