키넥트 깊이 정보와 DSLR을 이용한 고해상도 3D 객체 생성
High resolution 3D object generation with a DSLR and depth information by Kinect
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참고문헌
키워드
초록
We generated a high resolution 3D object using a commercial DSLR camera and the low depth information of Kinect. High resolution depth map was obtained through camera calibration between the DSLR and Kinect sensor. 3D mesh model was created by the high resolution depth information and mapped with RGB color value. The experimental result showed that it is possible to create high resolution 3D object from the depth camera. This paper is expected to be applied to reality game graphic.
Abstract
We generated a high resolution 3D object using a commercial DSLR camera and the low depth information of Kinect. High resolution depth map was obtained through camera calibration between the DSLR and Kinect sensor. 3D mesh model was created by the high resolution depth information and mapped with RGB color value. The experimental result showed that it is possible to create high resolution 3D object from the depth camera. This paper is expected to be applied to reality game graphic.
참고문헌 (14)
- M. D. Wheeler., "Registration and Fusion of Intensity and Range Data for 3D modeling of Real World Scenes", Proc. of 3DIM'03, pp.418~426 (2003)
- V. Sequeira., "3D scene modeling from multiple range views", Proc. IEEE Workshop on Physics-based Modeling in Computer Vision, 2598, pp.114~127 (1995)
- R. Koch, "Dynamic 3D Scene Analysis through Synthesis Feedback Control", IEEE Trans. Pattern Analysis Machine Intelligence, 15(6), pp.556~568 (1993)
- B. Curless, "A volumetric method for building complex models from range images", SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques, pp.303~312 (1996)
- P. Fua, "From Multiple Stereo Views to Multiple 3D Surfaces", International Journal of Computer Vision, 24(1), pp.19~35 (1997)
- Jaesik Park., "High quality depth map upsampling for 3D-TOF cameras", IEEE International Conference on Computer Vision (ICCV), pp.1623~1630 (2011)
- K. Khoshelham, "Accuracy and resolution of kinect depth data for indoor mapping applications", Sensor, 12, pp.1437~1454 (2012)
- 박준석, "깊이 카메라를 이용한 상지 운동 게임", 한국컴퓨터게임학회논문지, 25(1), pp.61~66 (2012), (사)한국컴퓨터게임학회[DOI]
- R. A. Hamzah, "Software Calibration for Stereo Camera on Stereo Vision Mobile Robot using Tsai’s Method", International Journal of Computer Theory and Engineering, 2(3), pp.390~394 (2010)
- J. Santamaria., "GRASP and path relinking hybridizations for the point matching-based image registration problem", Journal of Heuristics, 18(1), pp.1~24 (2011)
- S. Sarker., "USE OF NON-LOCAL MEANS FILTER TO DENOISE IMAGE CORRUPTED BY SALT AND PEPPER NOISE", Signal & Image Processing : An International Journal(SIPIJ), 3(2), pp.223~235 (2012)
- J. R. Shewchuk, "General-Dimensional Constrained Delaunay and Constrained Regular Triangulations, I : Combinatorial Properties", Discrete & Computational Geometry, 39(1), pp.580~637 (2008)
- 김나영, "360도 구 디스플레이 기반 게임 인터페이스의 활용성", 한국컴퓨터게임학회논문지, 24(3), pp.75~84 (2011), (사)한국컴퓨터게임학회
- 이상엽, "스마트 디바이스를 이용한 가상공간과 실제공간의 결합 로봇 게임 시스템 개발", 한국컴퓨터게임학회논문지, 25(4), pp.219~226 (2012), (사)한국컴퓨터게임학회