ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Real-Time 2D-to-3D Conversion for 3DTV using Time-Coherent Depth-Map Generation Method
Cited - time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
저자
남승우, 김혜선, 반윤지, 진성일
발행일
201409
출처
International Journal of Contents, v.10 no.3, pp.9-16
ISSN
1738-6764
출판사
한국콘텐츠학회
DOI
https://dx.doi.org/10.5392/IJoC.2014.10.3.009
협약과제
14MS3300, 3D 장면 분석 및 모델 재구성 기법에 의한 입체 3D 영상 생성/합성 기술, 남승우
초록
Depth-image-based rendering is generally used in real-time 2D-to-3D conversion for 3DTV. However, inaccurate depth maps cause flickering issues between image frames in a video sequence, resulting in eye fatigue while viewing 3DTV. To resolve this flickering issue, we propose a new 2D-to-3D conversion scheme based on fast and robust depth-map generation from a 2D video sequence. The proposed depth-map generation algorithm divides an input video sequence into several cuts using a color histogram. The initial depth of each cut is assigned based on a hypothesized depth-gradient model. The initial depth map of the current frame is refined using color and motion information. Thereafter, the depth map of the next frame is updated using the difference image to reduce depth flickering. The experimental results confirm that the proposed scheme performs real-time 2D-to-3D conversions effectively and reduces human eye fatigue.
KSP 제안 키워드
2D to 3D conversion, Color histogram, Depth Map, Difference image, Eye fatigue, Generation algorithm, Gradient model, Human eye, Map generation, Motion information, Real-Time