Article ID: | iaor20119755 |
Volume: | 25 |
Issue: | 4 |
Start Page Number: | 725 |
End Page Number: | 735 |
Publication Date: | Oct 2011 |
Journal: | Advanced Engineering Informatics |
Authors: | Fathi Habib, Brilakis Ioannis, Jog Gauri M |
Keywords: | geometry, image processing |
Estimating the fundamental matrix (F), to determine the epipolar geometry between a pair of images or video frames, is a basic step for a wide variety of vision‐based functions used in construction operations, such as camera‐pair calibration, automatic progress monitoring, and 3D reconstruction. Currently, robust methods (e.g., SIFT+normalized eight‐point algorithm+RANSAC) are widely used in the construction community for this purpose. Although they can provide acceptable accuracy, the significant amount of required computational time impedes their adoption in real‐time applications, especially video data analysis with many frames per second. Aiming to overcome this limitation, this paper presents and evaluates the accuracy of a solution to find