Paper
1 July 2003 4D structure from motion: a computational algorithm
Ma Ge, Michael D'Zmura
Author Affiliations +
Proceedings Volume 5016, Computational Imaging; (2003) https://doi.org/10.1117/12.487987
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
A problem of long standing in vision research is the recovery of three-dimensional (3D) structure from two-dimensional (2D) images. Work on structure from motion has focused on the recovery of 3D structure from multiple views of feature points like the vertices of a cube. Recent work on the perception of four-dimensional (4D) structures has prompted us to determine the circumstances under which 4D structure can be recovered from multiple views of feature points projected onto 2D images. We present a computational algorithm to solve this problem under three assumptions: 1. the correspondence of each feature point over different views is pre-determined; 2. the 4D object undergoes a rigid motion, and 3. the projection from 4D space to 2D images is a orthographic (parallel) one. Four views of five points are required. The algorithm can be generalized to treat the recovery of nD structure from mD views (1≤mn). We give some results concerning the minimum number of points and views that are required to recover nD structure from mD views by this algorithm.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ma Ge and Michael D'Zmura "4D structure from motion: a computational algorithm", Proc. SPIE 5016, Computational Imaging, (1 July 2003); https://doi.org/10.1117/12.487987
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KEYWORDS
Neodymium

3D image processing

Chemical elements

Visual system

3D vision

Visualization

Algorithms

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