This paper generalizes the parameterized image variety approach to image-based rendering proposed in [5] so it can handle both points and lines in a unified setting. We show that the set of all images of a rigid set of m points and n lines observed by a weak perspective camera forms a six-dimensional variety embedded in ℝ2(m+n). Aparameterization of this variety by the image positions of three reference points is constructed via least squares techniques from point and line correspondences established across a sequence of images. It is used to synthesize new pictures without any explicit 3D model. Experiments with real image sequences are presented.
CITATION STYLE
Genc, Y., & Ponce, J. (2000). Point- and line-based parameterized image varieties for image-based rendering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1883, pp. 132–148). Springer Verlag. https://doi.org/10.1007/3-540-44480-7_9
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