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- W1479795859 abstract "The world we live in is well labeled for the benefitof humans but to date robots have made little use of thisresource. In this paper we describe a system that allows robots to read and interpret visible text and use it to understand the content of the scene. We use a generative probabilistic model that explains spotted text in terms of arbitrary search terms. This allows the robot to understand the underlying function of the scene it is looking at, such as whether it is a bank or a restaurant.We describe the text spotting engine at the heart of oursystem that is able to detect and parse wild text in images, and the generative model, and present results from images obtained with a robot in a busy city setting." @default.
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- W1479795859 date "2010-01-01" @default.
- W1479795859 modified "2023-09-22" @default.
- W1479795859 title "Using text-spotting to query the world" @default.
- W1479795859 hasPublicationYear "2010" @default.
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