You are currently viewing a new version of our website. To view the old version click .
by
  • Fengtian Lv1,2,3,*,
  • Huixi Xu1,2,3 and
  • Kai Shi1,2,3
  • et al.

Reviewer 1: Anonymous Reviewer 2: Anonymous

Round 1

Reviewer 1 Report

Please find attached the file for my comments. Thank you. 

Comments for author File: Comments.pdf

Author Response

The response for the comments can be seen in the attached file.

Author Response File: Author Response.pdf

Reviewer 2 Report

This paper is to estimate the pose and position based on adaptive extraction. Then, the algorithm is validated and verified via experiments to prove to be better than the classical methods. This algorithm is good application research. Here are my minor comments.

Section 2:
In eq. 5 and 7, the authors should present the suitable range of predicted pixel coordinates. What are the constraints of nonlinear programming of optimization techniques?

Section 3:
The blue component B is used to extract the guidance features. How clear is the original image that the author can apply the algorithm?

Section 5:
In 5.5.1, the success rate of guidance feature extraction is presented in Table 4. How far is the distance from the camera to the object that the algorithm is working well? The success rate should be recommended in a limited range.

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf