发明名称 Detecting and Tracking Touch on an Illuminated Surface Using a Machine Learning Classifier
摘要 A method for touch detection that is performed by a touch processor in an optical touch detection system is provided. The method includes receiving an image of an illuminated surface in the optical touch detection system, wherein the image is captured by a camera in the optical touch detection system, identifying a set of candidate touch locations in the image, classifying the candidate touch locations in the set of candidate touch locations to generate a set of validated candidate touch locations, wherein classifying the candidate touch locations includes using a machine learning classifier to classify each candidate touch location as valid or invalid, wherein the machine learning classifier is trained to classify a candidate touch location based on a combination of features of the candidate touch location, and outputting a set of final touch locations.
申请公布号 US2013241890(A1) 申请公布日期 2013.09.19
申请号 US201313828736 申请日期 2013.03.24
申请人 TEXAS INSTRUMENTS INCORPORATED 发明人 SHARMA VINAY
分类号 G06F3/042 主分类号 G06F3/042
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