The search functionality is under construction.
The search functionality is under construction.

Improving Hessian Matrix Detector for SURF

Yitao CHI, Zhang XIONG, Qing CHANG, Chao LI, Hao SHENG

  • Full Text Views

    0

  • Cite this

Summary :

An advanced interest point detector is proposed to improve the Hessian-Matrix based detector of the SURF algorithm. Round-like shapes are utilized as the filter shape to calculate of the Hessian determinant. Dxy can be acquired from approximate round areas, while the regions for computing Dyy or Dxx are designed with the consideration to symmetry and a balance of pixel number. Experimental results indicate that the proposed method has higher repeatability than the one used in SURF, especially in the aspects of rotation and viewpoint, due to the centrosymmetry of the proposed filter shapes. The results of image matching also show that more precision can be gained with the application of proposed detector.

Publication
IEICE TRANSACTIONS on Information Vol.E94-D No.4 pp.921-925
Publication Date
2011/04/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E94.D.921
Type of Manuscript
LETTER
Category
Pattern Recognition

Authors

Keyword