SIFT-Based Keypoint Matching and Clustering for Object Recognition

The algorithm proposed in this paper primarily employs the SIFT[11] method to extract key points, followed by matching and clustering of the matched key points. If a cluster contains no less than three key points, it is considered a match between two clusters.