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Subject

3D Depth Estimation by a Single Camera
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단일 카메라를 이용한 3D 깊이 추정 방법

논문 기본 정보

Type
Academic journal
Author
Seunggi Kim (전남대학교) Young Min Ko (전남대학교) Chulkyun Bae (전남대학교) Dae Jin Kim (전남대학교)
Journal
The Korean Society Of Broad Engineers JOURNAL OF BROADCAST ENGINEERING Vol.24 No.2 KCI Accredited Journals
Published
2019.3
Pages
281 - 291 (11page)

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Result
3D Depth Estimation by a Single Camera
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Abstract· Keywords

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Depth from defocus estimates the 3D depth by using a phenomenon in which the object in the focal plane of the camera forms a clear image but the object away from the focal plane produces a blurred image. In this paper, algorithms are studied to estimate 3D depth by analyzing the degree of blur of the image taken with a single camera. The optimized object range was obtained by 3D depth estimation derived from depth from defocus using one image of a single camera or two images of different focus of a single camera. For depth estimation using one image, the best performance was achieved using a focal length of 250 mm for both smartphone and DSLR cameras. The depth estimation using two images showed the best 3D depth estimation range when the focal length was set to 150 mm and 250 mm for smartphone camera images and 200 mm and 300 mm for DSLR camera images.

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 3D 깊이 추정 방법
Ⅲ. 3D 깊이 추정을 최적화하기 위한 파라미터 설계
Ⅳ. 실험 결과
Ⅴ. 결론
참고문헌 (References)

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UCI(KEPA) : I410-ECN-0101-2019-567-000547454