首页|Research from College of Computer Science and Engineering in Pattern Recognition and Artificial Intelligence Provides New Insights (A Gaze Estimation Method Based on Binocular Cameras)
Research from College of Computer Science and Engineering in Pattern Recognition and Artificial Intelligence Provides New Insights (A Gaze Estimation Method Based on Binocular Cameras)
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Current study results on pattern recognition and artificial intelligence have been published. According to news originating from Shaanxi, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, multi-stream gaze estimation methods have become mainstream, which estimate gaze point by eye picture or combine with facial appearance, have achieved considerable accuracy.” Financial supporters for this research include The National Science Foundation of China. Our news journalists obtained a quote from the research from College of Computer Science and Engineering: “However, these methods based on a single camera fail to obtain accurate eye spatial position information. To address this issue, we propose a multi-stream gaze estimation model that incorporates spatial position information. We acquire eye spatial position information using a stereo camera and fuse eye image features with eye spatial position information using a ResNet network with a fused attention mechanism.”
College of Computer Science and EngineeringShaanxiPeople’s Republic of ChinaAsiaMachine LearningPattern Recognition and Artificial Intelligence
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