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The Computer Vision Group at Colorado State University focuses on semantic object recognition in complex domains. The challenge of object recognition has lead us to address computer vision in the broader context of Artificial Intelligence, and to integrate techniques from empirical evaluation and machine learning. Our goal is to use these techniques to develop computer vision systems whose behaviors are both reliable and understood.
We are actively studying human face recognition algorithms and how to model the human expert recognition pathway. Other areas of expertise and interest include embedded real-time computer vision, 3D model-based object recognition and adaptive object recognition under the control of Markov processes.
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