Ego-Motion and EPI Analysis
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Stacking up a sequence of images in the order of shooting time, a 3D image having a time axis which is the thickness direction of just one book is obtained. This 3D image is called a spatiotemporal image. If the temporal change of the image is slow, the spatiotemporal image has continuity in the time axis direction as strong as in the image axis directions. An epipolar plane is composed of two camera viewpoints at the start and end times of the moving images and a 3D point on the object. If the camera moves in translation, this object point is constrained on the epipolar plane. When the spatiotemporal image is cut along the epipolar plane, the projection of the object point draws a locus on this cross section. This spatiotemporal cross-sectional image is called an epipolar plane image (EPI). By analyzing the EPI, it is possible to track the objects...
- 1.Yamamoto M (1981) Motion analysis by visualised locus method. Trans Inf Process Soc Jpn 22(5):442–449. (Japanese edition)Google Scholar
- 5.Kawasaki H, Ikeuchi K, Sakauchi M (2000) Spatio-temporal analysis of Omni image. In: Proceedings of IEEE computer society conference on computer vision and pattern recognition (CVPR00), vol 2, pp 577–584Google Scholar
- 6.Sugimoto S, Okutomi M (1999) Shape estimation of rotating object using spacio – temporal images. Trans Inf Process Soc Jpn 40(6):2717–2724. (Japanese edition)Google Scholar
- 7.Fukugawa Y, Zheng JY, Tanaka K, Abe N (1996) Recovering 3D models from highlight motion. Trans Inst Electron Inf Commun Eng J79-DII(5):719–726. (Japanese edition)Google Scholar
- 8.Rav-Acha A, Pritch Y, Lischinski D, Peleg S, Trees blowing in the wind. http://www.vision.huji.ac.il/dynmos/page2.html