Euclidean distances as well as the polarities of the are recorded as R according to Equation (3). In traces in order to judge the similarity of two addition, do the same operation on d ' and d ' descriptors, we can determine whether the two and we can also get R ' . Assume the angle o f descriptors match or not. Firstly, if they do not  P  P  and  P  P  is  as well as the angle of have the same type of contrast, this feature point is P ' P ' is ' . Then the difference value treated as a false one and it will not be taken into be tw een R and R ' and the difference between consideration. Conversely, if they have the same  and  ' accordin g to (4) are achieved. In case type of contrast, we go on calculating the that the difference absolute value is in the range of Euclidean distance of them respectively according θ and R and R 'would be considered to be the to: same. It is the same with  and  ' . :   For each feature

doi:10.1201/b18660-68

Chapter

Euclidean distances as well as the polarities of the are recorded as R according to Equation (3). In traces in order to judge the similarity of two addition, do the same operation on d ' and d ' descriptors, we can determine whether the two and we can also get R ' . Assume the angle o f descriptors match or not. Firstly, if they do not  P  P  and  P  P  is  as well as the angle of have the same type of contrast, this feature point is P ' P ' is ' . Then the difference value treated as a false one and it will not be taken into be tw een R and R ' and the difference between consideration. Conversely, if they have the same  and  ' accordin g to (4) are achieved. In case type of contrast, we go on calculating the that the difference absolute value is in the range of Euclidean distance of them respectively according θ and R and R 'would be considered to be the to: same. It is the same with  and  ' .

Chapter

Euclidean distances as well as the polarities of the are recorded as R according to Equation (3). In traces in order to judge the similarity of two addition, do the same operation on d ' and d ' descriptors, we can determine whether the two and we can also get R ' . Assume the angle o f descriptors match or not. Firstly, if they do not  P  P  and  P  P  is  as well as the angle of have the same type of contrast, this feature point is P ' P ' is ' . Then the difference value treated as a false one and it will not be taken into be tw een R and R ' and the difference between consideration. Conversely, if they have the same  and  ' accordin g to (4) are achieved. In case type of contrast, we go on calculating the that the difference absolute value is in the range of Euclidean distance of them respectively according θ and R and R 'would be considered to be the to: same. It is the same with  and  ' .

ABSTRACT

Euclidean distances as well as the polarities of the traces in order to judge the similarity of two descriptors, we can determine whether the two descriptors match or not. Firstly, if they do not have the same type of contrast, this feature point is treated as a false one and it will not be taken into consideration. Conversely, if they have the same type of contrast, we go on calculating the Euclidean distance of them respectively according to:

∑( )( ) =   =

, - 2

D i j D Dik jk i

(2)

For each feature point, compute the ratio of the shortest Euclidean distance and the second shortest one. Next, the ratio is compared with the default threshold value (usually 0.7 in experiment). If the ratio is in the range of 0.7, we think that this point matches with the nearest point. Otherwise, it would be regarded as a wrong one. SURF algorithm can exclude some false feature points to some extent. However we still gain some false matched pairs. Therefore, other methods should be taken into consideration to improve the matching accuracy.