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Article
Peer-Review Record

Frame Registration for Motion Compensation in Imaging Photoplethysmography

Sensors 2018, 18(12), 4340; https://doi.org/10.3390/s18124340
by Dmitry Iakovlev, Sijung Hu * and Vincent Dwyer
Reviewer 1: Anonymous
Reviewer 2:
Sensors 2018, 18(12), 4340; https://doi.org/10.3390/s18124340
Submission received: 23 October 2018 / Revised: 5 December 2018 / Accepted: 6 December 2018 / Published: 8 December 2018
(This article belongs to the Section Physical Sensors)

Round 1

Reviewer 1 Report

attached.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Please, define the Equation more clearly than below


162 where T (m) is the intensity transformation, mapping the target image IT with transformation parameter
163 vector m, and Y is the similarity metric between the reference image IR and the transformed target; and
164 is used with the goal of finding mmin which minimizes the difference between the two.

Author Response

please see the attachment as requested.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

According to the text "The first stage experiments, conducted with the silicone palm, clearly demonstrated the inability of the feature-based frame registration method to accurately and reliably predict object motion due to the limit of well-defined anchor points" so why this was done and reported here?

Author Response

See the response as attached.

Author Response File: Author Response.docx

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