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Efficient Fourier-based approach for detecting orientations and occlusions in epipolar plane images for 3D scene modeling
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Source International Journal of Computer Vision archive
Volume 61 ,  Issue 3  (February/March 2005) table of contents
Pages: 233 - 258  
Year of Publication: 2005
ISSN:0920-5691
Authors
Zhigang Zhu  Department of Computer Science, The City College, The City University of New York, New York, NY
Guangyou Xu  Department of Computer Science and Technology, Tsinghua University, Beijing 100084, People's Republic of China
Xueyin Lin  Department of Computer Science and Technology, Tsinghua University, Beijing 100084, People's Republic of China
Publisher
Kluwer Academic Publishers  Hingham, MA, USA
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ABSTRACT

This paper presents a Fourier-based approach for automatically constructing a 3D panoramic model of a natural scene from a video sequence. The video sequences could be captured by an unstabilized camera mounted on a moving platform on a common road surface. As the input of the algorithms, "seamless" panoramic view images (PVIs) and epipolar plane images (EPIs) are generated after image stabilization if the camera is unstabilized. A novel panoramic EPI analysis method is proposed that combines the advantages of both PVIs and EPIs efficiently in three important steps: locus orientation detection in the Fourier frequency domain, motion boundary localization in the spatio-temporal domain, and occlusion/resolution recovery only at motion boundaries. The Fourier energy-based approaches in literature were usually for low-level local motion analysis and are therefore not accurate for 3D reconstruction and are also computationally expensive. Our panoramic EPI analysis approach is both accurate and efficient for 3D reconstruction. Examples of layered panoramic representations for large-scale 3D scenes from real world video sequences are given.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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REVIEW

"Steven S. Beauchemin : Reviewer"

This research paper presents an algorithm for three-dimensional (3D) scene reconstruction from a mobile platform, which combines epipolar plane image (EPI) and panoramic view image (PVI) analysis to estimate pixel-wise depths and locate regions of  more...

Collaborative Colleagues:
Zhigang Zhu: colleagues
Guangyou Xu: colleagues
Xueyin Lin: colleagues