We present a novel approach for 3D reconstruction based on a set of images taken from a static scene. Our solution is inspired by the spatiotemporal analysis of video sequences. The method is based on a best fitting scheme for spatiotemporal curves that allows us to compute 3D world coordinates of points within the scene. As opposed to a large number of current methods, our technique deals with random camera movements in a transparent way, and even performs better in these cases than with restrained motion such as pure translation. Robustness against occlusion and aliasing is inherent to the method as well. © 2004 Elsevier B.V. All rights reserved.
Rodrigues, R., Fernandes, A., Van Overveld, K., & Ernst, F. (2004). From spatiotemporal curves to reconstructed depth. In Image and Vision Computing (Vol. 22, pp. 959–970). Elsevier Ltd. https://doi.org/10.1016/j.imavis.2004.03.007