Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 30, Number 5(2) (2018)
Copyright(C) MYU K.K.
pp. 1165-1174
S&M1573 Technical Paper of Special Issue
https://doi.org/10.18494/SAM.2018.1785
Published: May 31, 2018

Autofocus System and Evaluation Methodologies: A Literature Review [PDF]

Yupeng Zhang, Liyan Liu, Weitao Gong, Haihua Yu, Wei Wang, Chongying Zhao, Peng Wang, and Toshitsugu Ueda

(Received October 24, 2017; Accepted January 19, 2018)

Keywords: autofocus, digital camera, thermal infrared camera, search algorithm, focus measure function

The autofocus system has gained popularity in over 40 years. Embedded in a camera, it is able to bring the best focused image to the viewer within a few seconds, which frees users from focusing manually. An autofocus system usually consists of a motor, a lens and the processing and control units. Within years of development, the autofocus system has become mature in terms of both technology and market, and many fast and accurate autofocus systems have been introduced and widely installed in compact cameras and digital single lens reflex (DSLR) cameras. On the other hand, the market for thermal infrared cameras has been increasingly growing in recent years owing to their decreasing cost and wide use by both civilians and the military. The autofocus system in those cameras adopted similar but more challenging mechanisms. This article serves as a literature review of the state of the art of the autofocus system in both visible light digital cameras and thermal infrared cameras.

Corresponding author: Yupeng Zhang


Cite this article
Yupeng Zhang, Liyan Liu, Weitao Gong, Haihua Yu, Wei Wang, Chongying Zhao, Peng Wang, and Toshitsugu Ueda, Autofocus System and Evaluation Methodologies: A Literature Review, Sens. Mater., Vol. 30, No. 5, 2018, p. 1165-1174.



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