형태를 기반으로 하는 인공표식의 인식 및 추종 알고리즘: 탁도변화에 따른 SIFT 알고리즘과 비교 분석

Abstract

We propose an efficient and accurate vision based recognition and tracking framework for texture free objects. We approached this problem with a two phased algorithm: detection phase and tracking phase. The proposed framework is validated with real image data sets. Besides, the method is compared with few other well-known methods, and the corresponding test results are quantitatively reported in the paper. Lastly, we present a performance comparison of the proposed method for turbidity changes against SIFT algorithm.