Depth extraction using adaptive blur channel selection for dual-aperture camera = 이중 조리개 카메라에서 적응적 블러 채널 선택을 이용한 깊이 추출 방법

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 623
  • Download : 0
Depth extraction is an important area of research in computer vision as a promising technology for various applications using depth information. There are several methods for the depth extraction but in this paper, we introduce the Dual-aperture (DA) system which is a novel camera based on depth from defocus (DFD). However, conventional method for DA system has an object color dependency problem, which comes from color transition region between objects or textures in an object. Therefore, this problem is very important issue because it results in errors at depth map. For this reason, we propose consecutive process consisting of two parts to obtain the improved depth map compared to the conventional method. We demonstrate that the depth map becomes more even in an object at the same distance and distinguishable between objects at different distance by the proposed methods. In addition, experimental results indicate that we can obtain the improved depth map only with a small amount of additional computing time, or about 1% of the computing time for the conventional method.
Advisors
Kyung, Chong-Minresearcher경종민researcher
Description
한국과학기술원 :전기및전자공학부,
Publisher
한국과학기술원
Issue Date
2016
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2016.2 ,[iv, 31 p. :]

Keywords

depth extraction; depth from defocus; dual-aperture camera; edge alignment; adaptive blur channel selection; 심도 추출; 심도가 다른 이미지를 이용한 심도 추출; 이중 조리개 카메라; 선 일치; 적응적 블러 채널 선택

URI
http://hdl.handle.net/10203/221661
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=649581&flag=dissertation
Appears in Collection
EE-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