Locating Objects Visually Using Opposing-Colour-Channel Coding
نویسندگان
چکیده
The work presented in this paper shows how a simple algebraic manipulation of the RGB colour channels of an artificial vision system can significantly improve the performance of an objectlocating mechanism based on unsupervised clustering. The proposed image processing and clustering mechanism forms the first part of a noveltydetecting robot controller. Experiments with two different connectionist approaches (SelfOrganising Feature Map and Principal Component Analysis Network) and an evaluation of their performances to the desired novelty-detection task are also presented.
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