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computer vision

by , ,   -   November 6, 2014

When we look at a fine art painting, we can infer information about its style (e.g. Baroque vs. Impressionism), genre (e.g. a portrait or a landscape), and even the artist who painted it. This impressive ability of human perception for learning and judging complex aesthetic-related visual concepts has long been thought to not be a logical process. In our research, however, we tackle this problem using a computational methodology, to show that machines can in fact learn such aesthetic-related concepts.

by   -   October 3, 2014
Peter_Corke_Vision
Source: Peter Corke

In this episode, Audrow Nash interviews Peter Corke from Queensland University of Technology, about computer vision – the subject of his plenary talk at IROS 2014 (link to slides below). He begins with a brief history of biological vision before discussing some early and more modern implementations of computer vision. Corke also talks about resources for those interested in learning computer vision, including his book, Robotic Vision & Control, and a massively open online course (MOOC) that he plans to release in 2015.