TY - GEN
T1 - The scale of edges
AU - Liu, Xian Ming
AU - Wang, Changhu
AU - Yao, Hongxun
AU - Zhang, Lei
PY - 2012
Y1 - 2012
N2 - Although the scale of isotropic visual elements such as blobs and interest points, e.g. SIFT[12], has been well studied and adopted in various applications, how to determine the scale of anisotropic elements such as edges is still an open problem. In this paper, we study the scale of edges, and try to answer two questions: 1) what is the scale of edges, and 2) how to calculate it. From the points of human cognition and physical interpretation, we illustrate the existence of the scale of edges and provide a quantitative definition. Then, an automatic edge scale selection approach is proposed. Finally, a cognitive experiment is conducted to validate the rationality of the detected scales. Moreover, the importance of identifying the scale of edges is also shown in applications such as boundary detection and hierarchical edge parsing.
AB - Although the scale of isotropic visual elements such as blobs and interest points, e.g. SIFT[12], has been well studied and adopted in various applications, how to determine the scale of anisotropic elements such as edges is still an open problem. In this paper, we study the scale of edges, and try to answer two questions: 1) what is the scale of edges, and 2) how to calculate it. From the points of human cognition and physical interpretation, we illustrate the existence of the scale of edges and provide a quantitative definition. Then, an automatic edge scale selection approach is proposed. Finally, a cognitive experiment is conducted to validate the rationality of the detected scales. Moreover, the importance of identifying the scale of edges is also shown in applications such as boundary detection and hierarchical edge parsing.
UR - https://www.scopus.com/pages/publications/84866719403
U2 - 10.1109/CVPR.2012.6247709
DO - 10.1109/CVPR.2012.6247709
M3 - 会议稿件
AN - SCOPUS:84866719403
SN - 9781467312264
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 462
EP - 469
BT - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
T2 - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
Y2 - 16 June 2012 through 21 June 2012
ER -