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文件名称：A Multi-Features Based Corner Detection Method.pdf
文件大小：574KB
文件格式：PDF
更新时间：2023-04-19 10:34:50
角点检测方法
To improve the accuracy of corner’s detection in the
traditional black and white chessboard, a new method based
on multi-features is proposed. Three distinct local features of
the corners have been analyzed, they are structural response,
symmetric response and edge response. By selectively applying
these features, initial selection and later screening of potential
corners have been done. Non-maximum suppression (NMS)
has been used to generate original potential corner candidates,
which could be scored by the combination of feature responses
mentioned above. With all scores reasonably thresholded, false
corners could be removed. Meanwhile, sub-pixel level of corner
coordinates is achieved using the orthogonality of potential
corners and adjacent pixels. Experimentally, final results
prove the effectiveness and robustness of the proposed method
with high sub-pixel accuracy