Utilizing super resolution to increase disparity resolution and better stereo depth estimation for fisheye images = 초해상화로부터의 어안렌즈 기반 스테레오 거리 측정 보완 기법

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 42
  • Download : 0
This work attempts to improve the stereo fisheye depth estimation for far away objects. Fisheye cameras have a great advantage over traditional cameras in that they have a wider field of view (FoV) to perceive its surroundings. However, due to the larger sampling rate from the wider FoV, the wide FoV information is compressed into a limited sensor array. When performing stereo depth estimation using fisheye cameras, the depth is estimated using disparity between corresponding pixels. When attempting to estimate depth for far away objects, low resolution images lack depth resolution as the disparity resolution is reduced; this effect is more apparent in fisheye cameras as these cameras have lower spatial resolution. To improve the depth resolution of far away objects in fisheye camera stereo depth estimation, the proposed research applies super-resolution on fisheye images. By performing super resolution, the disparity resolution is increased as well as the depth resolution.
Advisors
Yoon, Kuk-Jinresearcher윤국진researcher
Description
한국과학기술원 :기계공학과,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 기계공학과, 2020.8,[iv, 48 p. :]

Keywords

Environment perception▼aFisheye camera▼aStereo depth estimation▼aSuper resolution▼aComputer vision; 주변환경 인식▼a어안렌즈▼a스테레오 거리측정▼a영상 초해상화▼a컴퓨터 비전

URI
http://hdl.handle.net/10203/284953
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=925112&flag=dissertation
Appears in Collection
ME-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0