Title :
Computer vision, image analysis, and master art: part 1
Author_Institution :
Ricoh Innovations, Menlo Park, CA
Abstract :
Can computer systems help us understand paintings and the methods of great masters? In this three-part series, David C. Stork describes how he uses techniques adapted from computer vision and image analysis to shed light on art and problems in art history. In part 1, the subject is perspective, and among the questions posed: did the artists of the Renaissance use optical projections as has been recently hypothesized?
Keywords :
art; computer vision; history; image segmentation; object recognition; Renaissance; art history; automated inspection; computer vision; image analysis; image segmentation; object recognition; optical projections; robot navigation; scene analysis; surveillance; Application software; Art; Cameras; Computer vision; Eigenvalues and eigenfunctions; Image analysis; Optical devices; Painting; Subspace constraints; Transmission line matrix methods; computer systems; computer vision and image analysis; optical projections; renaissance art;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2006.50
