A model-based approach for rigid object recognition

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A model-based approach for rigid object recognition

Most object recognition systems require large databases of real images for classifier training. To collect real images for this purpose is a difficult and expensive process. This paper introduces a unified framework based on the creation and use of synthetic images for training various classifiers t...

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Bibliographic Details
Main Authors:	Chong, C., Tan, Tele, Lim, Fee-Lee
Other Authors:	Y.Y. Tang
Format:	Conference Paper
Published:	IEEE Coputer Society Conference Publishing Services 2006
Online Access:	http://hdl.handle.net/20.500.11937/18574

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