Browse > Article
http://dx.doi.org/10.3745/KIPSTB.2003.10B.7.803

Real-Time Image Mosaic Using DirectX  

Chong, Min-Yeong (광주여자대학교 멀티미디어학과)
Choi, Seung-Hyun ((주) 3R Game 연구원)
Bae, Ki-Tae (전남대학교 대학원 컴퓨터공학과)
Lee, Chil-Woo (전남대학교 전자컴퓨터정보통신공학부)
Abstract
In this paper, we describe a fast image mosaic method for constructing a large-scale image with video image captured from cameras that are arranged in radial shape. In the first step, we adopt the phase correlation algorithm to estimate the horizontal and vertical displacement between two adjacent images. Secondly, we calculate the accurate transform matrix among those cameras with Levenberg-Marquardt method. In the last step, those images are stitched into one large scale image in real-time by applying the transform matrix to the texture mapping function of DirectX. The feature of the method is that we do not need to use special hardware devices or write machine-level programs for Implementing a real-time mosaic system since we use conventional graphic APIs (Application Programming Interfaces), DirectX for image synthesis process.
Keywords
Image Mosaic; Phase Correlation; Levenberg-Marquardt method; DirectX; Real-Time;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Naoki Chiba, Hiroshi Kano, Minoru Higashihara, Masashi Yasuda, and Osumi, 'Feature-Based Image Mosaicing,' MVA '98 IAPR Workshop on Machine Vision Applications, pp. 5-10, 1998
2 Mann, S. and Picard, R. W, 'Virtual bellows : constructing high-quality images from video,' in first IEEE International Conference on Image Processing (ICIP-94), Austin, Texas, Vol.1, pp.363-367, November, 1994   DOI
3 W. H. Press, B. P. Flannery, A. A. Teukolsky and W. T. Vetterling, 'Numerical Recipes in C : The Art of Scientic Computing,' Cambridge University Press Cambridge, England, Second edition, 1992
4 이동휘, '방사그리드형 모자익을 위한 영상 정합 기법', 전남대학교 컴퓨터공학과 석사학위 논문, 2002
5 최승현, '위상 상관을 이용한 자동영상 모자익', 제15회 신호처리 합동 학술대회, p.289, 2002
6 B. Srinivasa Reddy and B. N. Chatterji, 'A FFT-Based Technique for Translation, Rotaion, and Scale-Invariant Image Registration,' IEEE Trans. Image Processing, Vol.5 No.8, 1996   DOI   ScienceOn
7 R. Hartley and A. Zisserman, 'Multiple View Geometry,' Cambridge University Press, 2000
8 H.-Y. Shum and R. Szeliski, 'Panoramic image mosaicing,' Technical Report MSR-TR-97-23, Microsoft Research, 1997
9 Bruce D. Lucas and Takeo Kanade, 'An Iterative Image Registration Technique with an Application to Stereo Vision,' Proceedings of Imaging Understanding Workshop, pp.121-130, 1981
10 Shree K. Nayar, 'Omnidirectional Video Camera,' Proc. of DARPA Image Understanding Workshop, New Orieans, May, 1997
11 R. Szeliski, 'Video mosaics for virtual environments,' IEEE Computer Graphics and Applications, pp.22-30, March, 1996   DOI   ScienceOn
12 고종호, '하우스도프 거리를 이용한 영역정합기반 자동영상 모자이킹', 전남대학교 컴퓨터공학과 석사학위 논문, 2001
13 J. Davis, 'Mosaics of Scenes with Moving Objects,' CVPR pp.354-360, 1998
14 S. E. Chen, 'QuickTime VR - an image-based approach to virtual environment navigation,' Computer Graphics (SIGGRAPH'95), pp.29-38, August, 1995   DOI
15 R. Szeliski, 'Video mosaics for virtual environments,' IEEE Computer Graphics and Applications, pp.22-30, March, 1996   DOI   ScienceOn
16 M. Uyttendaele, A. Eden and R. Szeliski, 'Eliminating ghosting and exposure artifacts in image mosaics,' In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '2001), Kauai, Hawaii, Vol.II, pp. 509-516, December, 2001   DOI
17 R. Szeliski, 'Image-based modeling and rendering,' In Fourth International Workshop on Cooperative and Distributed Vision, Kyoto, Japan, pp.413-429, March, 2001
18 S. B. Kang, R. Szeliski and J. Chai, 'Handling occlusions in dense multi-view stereo,' Technical Report MSR-TR-2001-80, Microsoft Research, September, 2001
19 R. Szeliski, 'Image Mosaicing for Tele-Reality Applications,' CRL Technical Report 94/2, Digital Equipment Corporation, 1994
20 I. Cohen, G. Medioni, 'Detecting and Tracking Moving Objects for Video Surveillance,' IEEE Proc. Computer Vision and Pattern Recognition, Jun., 1999   DOI
21 S. M. Smith and J. M. Brady, 'SUSAN - A New Approach to Low Level Image Processing,' Technical Report TR95 SMS1c, 1995