Fast and accurate target object silhouette extraction for highly-immersive augmented virtuality몰입감이 높은 증강 가상을 위한 빠르고 정확한 대상 객체 실루엣 추출 기법

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From the definition of reality-virtuality continuum by Paul Milgram, human’s experience environments can be classified into four categories: real world(RW), augmented reality(AR), augmented virtuality(AV) and virtual reality(VR) environment. Recent advancements in the computing capabilities of such devices as Google Glass, Kinect2 and Oculus Rift have drawn people’s attention which had stayed in RW environments to AR, AV and VR environments. Among them, AV services have gained tremendous popularity and have been widely employed in a variety of places such as home and shopping malls with the wide spread of RGB and RGB-D sensors like Kinect2. AV services provide a user with experience expansion beyond time and space limitation, because the user can be put into any environment in a virtual world. But, the user can be easily distracted when seamless integration between RW objects and virtual worlds is broken. To give a full immersion to the user, it is required to extract a user’s silhouette with high accuracy and every processing must be conducted under real-time constraint. In this dissertation, we propose fast and accurate foreground segmentation for RGB and RGB-D sensors. Firstly, adaptive mixture of Gaussians(MoGs) with observation masks control is proposed for RGB sensors to handle the stopped objects problem. Secondly, multi-weighted moving average(MWMA) and saliency- and depth-aided segmentation(SDAS) method are proposed for RGB-D sensors to solve flickering on the boundary and data loss on the head and feet of a human body, respectively. The qualitative and quantitative experimental results show that the proposed methods outperforms the previous methods in accuracy with a comparable speed.
Advisors
Yang, Hyun Seungresearcher양현승researcher
Description
한국과학기술원 :전산학부,
Publisher
한국과학기술원
Issue Date
2016
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전산학부, 2016.8 ,[vi, 50 p. :]

Keywords

Augmented Virtuality; Silhouette Extraction; RGB; RGB-D; Target Object; 증강가상; 실루엣추출; 컬러영상; 깊이영상; 대상객체

URI
http://hdl.handle.net/10203/222409
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=663218&flag=dissertation
Appears in Collection
CS-Theses_Ph.D.(박사논문)
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