Visual Code Marker Detection
نویسندگان
چکیده
This report presents our results for the class project for EE368 Digital Image Processing at Stanford University in the Spring of 2006. In this project we detect and decode visual markers by first processing the image to emphasize some salient features, then identify the marker candidates by analyzing these features, and finally projecting each candidate marker to decode it and create error measures to verify it as a marker. Our code detects and decodes every marker provided in the training set quickly and accurately.
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تاریخ انتشار 2006