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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2010.12
- 수록면
- 1,855 - 1,862 (8page)
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초록· 키워드
오류제보하기
In virtual reality, there are increasing qualitative development in service technologies for realtime interaction system development, 3-dimensional contents, 3D TV and augment reality services. These services experience difficulties to generate depth value that is essential to recover 3D space to form solidity on existing contents. Hence, research for the generation of effective depth-map using 2D is necessary. This thesis will describe a shortcoming of an existing depth-map generation for the recovery of 3D space using 2D image and will propose an enhanced depth-map generation algorithm that complements a shortcoming of existing algorithms and utilizes the definition of depth direction based on the vanishing point within image.
목차
ABSTRACT
1. INTRODUCTION
2. DEPTH RECOGNITION ELEMENT AND MATCHING ALGORITHM
3. DEPTH GENERATION USING VANISHING POINT
4. DEPTH-MAP GENERATION ALGORITHM
5. ESTABLISHING DEPTH-MAP STANDARD BASED ON THE LOCATION OF VANISHING LINES
6. CONCLUSION
REFERENCES
참고문헌 (15)
참고문헌 신청
R. T. Azuma / 1997 / A survey of Augmented Reality / In presence: Teleoperators and Virtual Environment 6(4):355~385
K. Sugihara / 1986 / Three Principle in Stereo Vision / Robotics 1(4):391~400
R.Mohr / 1993 / Projective Geometry And Computer Vision," Handbook of Pattern Recognition and Computer Vision :369~393
J.Kogecka, / 2002 / Efficient Computation of Vanishing Points / ICRA 2002 1:223~228
C.Rother / 2002 / A New Approach for Vanishing Point Detection in Architectural Environments / Image and Vision Computing 20:647~655
K. Sugihara / 1986 / Three Principle in Stereo Vision / Robotics 1(4):391~400
R.Mohr / 1993 / Projective Geometry And Computer Vision," Handbook of Pattern Recognition and Computer Vision :369~393
J.Kogecka, / 2002 / Efficient Computation of Vanishing Points / ICRA 2002 1:223~228
C.Rother / 2002 / A New Approach for Vanishing Point Detection in Architectural Environments / Image and Vision Computing 20:647~655
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UCI(KEPA) : I410-ECN-0101-2013-004-000790124