SURF-based Object Recognition and Its Application

• Main Authors: Chung-Ming Chiu, 邱俊銘
• Other Authors: Ching-Tang Hsieh
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/18691801448933461420

碩士 === 淡江大學 === 電機工程學系碩士班 === 100 === The museum has important status in all the time, collection of significant historical sites, artifacts, works with the changing times so far,but along with the time evolution, the multimedia has until now become the information to originate together is in addition beautiful, it all was unable in the acousto-optic video and music part for the past plane books to provide, when like had to present the content which dynamic 3D, the video and music presented, the books still received the traditional printing form to limit to are unable to present the above form the information. In this thesis, in order to accelerate the robust features (speeded-up robust features, SURF), based on use CamShift (Continuously Adaptive Mean Shift) SURF feature regions to follow them. SURF is to find a stable point in the scale space (scale space), to calculate the main direction of alignment for matching feature points, then the Haar wavelet response in the neighboring area and then the feature point described as the texture features, so you can overcome the interference of object recognition, image zoom size, rotate, changing light and shadow, re-use CamShift to track the user sound guide to the object, and then display the augmented reality users have different visual experience.