An affine invariant feature detection method based on SIFT and MSER

• Main Authors: Wang, Zhuping, Mo, Huiyu, Wang, Han, Wang, Danwei
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/99019; http://hdl.handle.net/10220/12871
• Institution: Nanyang Technological University

In this paper, an affine invariance feature detection method based on Scale Invariant Feature Transform (SIFT) and Maximally Stable Extremal Regions (MSER) is proposed. Classical SIFT algorithm is not robust to affine deformations, because it is based on DOG detector which extracts circle regions fo...