Method and Apparatus for Auto-focusing Based on Random Forest

Disclosed are a random forest-based auto-focusing apparatus and a method. An embodiment of the present invention provides an autofocusing apparatus and a method that automatically estimate and adjust the focal length of an input image using an optical system capable of adjusting the focal length of...

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Bibliographic Details
Main Authors LEE DAE JONG, CHUN MYUNG GEUN
Format Patent
LanguageEnglish
Korean
Published 02.08.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
OPTICS
PHYSICS
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Summary:Disclosed are a random forest-based auto-focusing apparatus and a method. An embodiment of the present invention provides an autofocusing apparatus and a method that automatically estimate and adjust the focal length of an input image using an optical system capable of adjusting the focal length of a glass substrate and a previously learned random forest-based classification model. The present invention includes a classification model and a control unit. 랜덤 포레스트(random forest) 기반의 오토포커싱(auto-focusing) 장치 및 방법을 개시한다. 본 실시예는, 유리 기판에 대한 초점거리를 조절할 수 있는 광학시스템 및 사전에 학습된 랜덤 포레스트(random forest) 기반 분류모델(classification model)을 이용하여 입력 이미지에 대한 초점거리(focal length)를 자동으로 추정 및 조절하는 오토포커싱 장치 및 방법을 제공한다.
Bibliography:Application Number: KR20200008984