Evaluating Feature-Based Homography Pipelines for Dual-Camera Registration in Acupoint Annotation.

Saved in:
Bibliographic Details
Title: Evaluating Feature-Based Homography Pipelines for Dual-Camera Registration in Acupoint Annotation.
Authors: Nanayakkara T; Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea., Malekroodi HS; Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea., Sul J; Gwangju Korean Medicine Hospital, Dongshin University, Gwangju 61619, Republic of Korea., Na CS; Department of Diagnostics & Acupuncture, College of Korean Medicine, Dongshin University, Naju 58245, Republic of Korea., Yi M; Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea.; Major of Biomedical Engineering, Division of Smart Healthcare, Pukyong National University, Busan 48513, Republic of Korea., Lee BI; Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea.; Major of Human Bioconvergence, Division of Smart Healthcare, Pukyong National University, Busan 48513, Republic of Korea.
Source: Journal of imaging [J Imaging] 2025 Nov 01; Vol. 11 (11). Date of Electronic Publication: 2025 Nov 01.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101698819 Publication Model: Electronic Cited Medium: Internet ISSN: 2313-433X (Electronic) Linking ISSN: 2313433X NLM ISO Abbreviation: J Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first