Efficient Fourier-Based Approach for Detecting Orientations and Occlusions in Epipolar Plane Images for 3D Scene Modeling
| Autor: | Xueyin Lin, Zhigang Zhu, Guangyou Xu |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Motion analysis
business.industry Computer science Orientation (computer vision) Epipolar geometry 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION symbols.namesake Fourier transform Artificial Intelligence Frequency domain Pattern recognition (psychology) symbols Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software Energy (signal processing) ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | International Journal of Computer Vision. 61:1-26 |
| ISSN: | 0920-5691 |
| DOI: | 10.1023/b:visi.0000045325.10439.3f |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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