Title:
キーポイント識別
Document Type and Number:
Japanese Patent JP6499647
Kind Code:
B2
Abstract:
A method for identifying keypoints in a digital image including a set of pixels. Each pixel has associated thereto a respective value of an image representative parameter. The method includes approximating a filtered image. The filtered image depends on a filtering parameter and includes for each pixel of the image a filtering function that depends on the filtering parameter to calculate a filtered value of the value of the representative parameter of the pixel. The approximating includes: a) generating a set of base filtered images; each base filtered image is the image filtered with a respective value of the filtering parameter; b) for each pixel of at least a subset of the set of pixels, approximating the filtering function by a respective approximation function based on the base filtered images; the approximation function is a function of the filtering parameter within a predefined range of the filtering parameter.
Inventors:
Balestri, Massimo
Francini, Gianluca
Lepsoy, Scalg
Francini, Gianluca
Lepsoy, Scalg
Application Number:
JP2016528521A
Publication Date:
April 10, 2019
Filing Date:
July 23, 2014
Export Citation:
Assignee:
Telecom Italia Esse Pear
International Classes:
G06T7/155; G06T7/60
Domestic Patent References:
| JP2006065399A | ||||
| JP2013516709A |
Foreign References:
| US20110170780 |
Other References:
Jeffrey Ng,外1名,Steering in Scale Space to Optimally Detect Image Structures,European Conference on Computer Vision 2004,2004年 5月11日,p.482-494,URL,https://doi.org/10.1007/978-3-540-24670-1_37
David G. Lowe,Distinctive Image Features from Scale-Invariant Keypoints,International Journal of Computer Vision,2004年11月,Volume 60, Issue 2,p.91-110,URL,https://doi.org/10.1023/B:VISI.0000029664.99615.94
David G. Lowe,Distinctive Image Features from Scale-Invariant Keypoints,International Journal of Computer Vision,2004年11月,Volume 60, Issue 2,p.91-110,URL,https://doi.org/10.1023/B:VISI.0000029664.99615.94
Attorney, Agent or Firm:
Shinjiro Ono
Yasushi Kobayashi
Shigeo Takeuchi
Osamu Yamamoto
Junichi Matsuo
Yasushi Kobayashi
Shigeo Takeuchi
Osamu Yamamoto
Junichi Matsuo