| Oulu Researchers Bring Robots a Step Closer |
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| By Sharat Khungar | ||||||
| Tuesday, 20 February 2007 | ||||||
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Dr Guoying Zhao and Prof. Matti Pietikäinen from the Machine Vision Group of the University of Oulu have produced significant results in their research focusing on facial expression analysis through video images. As a result of theirb research, there may soon be machines that can recognize human emotions. They have developed two new descriptors for dynamic texture recognition and applied them to facial expression analysis. This raises interesting prospects for future machine vision applications. Their article describing the approach, "Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions" was recently accepted for publication in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence, one of the most-cited journals in electrical engineering and computer science. The presented approach can be used in automatic and real-time facial expression recognition, and it has many potential computer vision applications. These include advanced human-computer interaction, biometric recognition, telecommunications and psychological research. For example, a machine able to recognise human emotions may soon be reality. The approach combines motion and appearance data in a way that avoids interference from illumination variations and image transformations such as rotation.
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