@inproceedings{cf94ab953db24b8a8271daf4256ea35f,
title = "Simple form recognition using Bayesian programming",
abstract = "The environment that surrounds us is very complex. Understanding and interpreting it is a very hard task. This paper proposes an approach allowing simple form recognition with a camera by using a probabilistic approach based on the Bayesian Programming formalism. The main goal is to recognize several type of elemental features composing an image, such as local orientation of a contour, or corners. The Bayesian Program for feature recognition is presented and the learning stage explained. Our approach has been validated through experiments.",
keywords = "Bayesian Programming, Computer Vision, Human-Robot Interaction, Pattern recognition",
author = "Guy Ramel and Adriana Tapus and Fran{\c c}ois Aspert and Roland Siegwart",
year = "2006",
month = dec,
day = "1",
language = "English",
isbn = "1586035959",
series = "Intelligent Autonomous Systems 9, IAS 2006",
pages = "713--721",
booktitle = "Intelligent Autonomous Systems 9, IAS 2006",
note = "9th International Conference on Intelligent Autonomous Systems, IAS 2006 ; Conference date: 07-03-2006 Through 09-03-2006",
}