View-synthesis from uncalibrated cameras and parallel planes

Abstract In this paper we present a view synthesis algorithm for the generation of novel intermediate views that smoothly interpolate between two reference images of the same scene acquired from two different point of views. If the acquisition system is not calibrated, there is no way to access the Euclidean frame and therefore it is impossible to determine the position and the orientation of the cameras as well as the three dimensional reconstruction of the imaged scene. Under the assumption of equal internal calibration of the two cameras, it is proved that the knowledge of the infinite homography is a sufficient condition for generating physically valid synthetic images from a pair of uncalibrated images. The view synthesis problem is therefore brought to the simpler well-known task of the estimation of the infinite homography through a set of geometric constraints existing in the scene. The work is complemented by the introduction of two novel techniques for estimating the infinite homography. This contributes to provide a variety of possibilities for such estimation, depending on the geometric constraints that can be identified in the imaged scene. The validity of the work is supported by a set of simulations on a synthetic three-dimensional scene and experiments on real data as well.

[1]  Ian D. Reid,et al.  Novel View Specification and Synthesis , 2002, BMVC.

[2]  Andrea Fusiello,et al.  Uncalibrated interpolation of rigid displacements for view synthesis , 2005, IEEE International Conference on Image Processing 2005.

[3]  Amnon Shashua,et al.  Novel View Synthesis by Cascading Trilinear Tensors , 1998, IEEE Trans. Vis. Comput. Graph..

[4]  C.-C. Jay Kuo,et al.  Uncalibrated multiview synthesis based on epipolar geometry approximation , 2015, 2015 IEEE International Conference on Consumer Electronics (ICCE).

[5]  Leonard McMillan,et al.  Plenoptic Modeling: An Image-Based Rendering System , 2023 .

[6]  Nassir Navab,et al.  Relative Affine Structure: Canonical Model for 3D From 2D Geometry and Applications , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Richard Szeliski,et al.  The lumigraph , 1996, SIGGRAPH.

[8]  Andrea Fusiello,et al.  Specifying Virtual Cameras in Uncalibrated View Synthesis , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  Takeo Kanade,et al.  Virtualized reality: concepts and early results , 1995, Proceedings IEEE Workshop on Representation of Visual Scenes (In Conjunction with ICCV'95).

[10]  Takeo Kanade,et al.  Virtual Space Teleconferencing Using a Sea of Cameras , 1994 .

[11]  Yue Zhao,et al.  Linear Solving the Infinite Homography Matrix from Epipole , 2010, 2010 Second International Conference on Computer Modeling and Simulation.

[12]  Amnon Shashua,et al.  Novel view synthesis in tensor space , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Andrea Fusiello,et al.  Hierarchical structure-and-motion recovery from uncalibrated images , 2015, Comput. Vis. Image Underst..

[14]  Marc Alexa,et al.  Linear combination of transformations , 2002, ACM Trans. Graph..

[15]  Augusto Sarti,et al.  Uncalibrated view synthesis from Relative Affine Structure based on planes parallelism , 2008, 2008 15th IEEE International Conference on Image Processing.

[16]  Jun-Sik Kim,et al.  Infinite Homography Estimation Using Two Arbitrary Planar Rectangles , 2006, ACCV.