Locating robust patterns based on invariant of LTP-based features

Thanh Tuan Nguyen, Thanh Phuong Nguyen, Nadège Thirion-Moreau

Abstract: Highlights•A novel concept of robust patterns (called RLTP) is introduced by considering the invariance of LTP-based features.•A crucial derivative of CLTP (called RCLTP) is proposed to be in accordance with RLTP.•An efficient application is presented to take into account RCLTP for local DT representation.•Local optical-flow-based features are taken into account DT motions for boosting the discrimination.•Just addressing the robust patterns, our RCLTP descriptor obtains very good performance compared to state of the art.