Research on the Key Algorithm for Image Matching Based on Improved SURF
Fengmei Liang · Science Technology and Engineering · 2013
With the defect of the high dimensions and low real time in image matching algorithm,the algorithm based on SURF is studied and improved.Firstly extract the feature points from the scale space of the image,and create extended feature vectors,then build KD-Tree feature structure,match the interest points by using BBF searching method.Experimental result express that,the time of detecting features by SURF algorithm is one third of SIFT algorithm;The matching speed by using BBF searching method is increased 2—3 times.