Similarity Measure of Images using SIFT and ORB Feature Matching
Shivani Singh, Sahithya Siramdas, K. Tanmayi, Laxmi Koli · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: In this study, similarities between images are identified and examined. A collection of images made from an image of the same scene or item taken under varied atmospheric conditions, such as different perspectives or lighting settings, and then altered in myriad ways by the very same starting image. The process of determining picture similarity is comparing visual information to evaluate how similar it is. Based on the input, it finds good matches and presents the proportion percent exceptional matches between the photos. It compares the supplied input to calculate the similarity measure. For decades, picture resemblance has been a fundamental problem in the fields of object recognition.When two photos are compared, Image Similarity generates a result that represents how physically similar they are. The measure of comparison of the two photographs is given a numerical number in this test. The similarity score between two photos ranges from 0 to 1 respectively.We have proposed a solution using SIFT & ORB Feature Matching