Affiliation:
1. Nanyang Technological University
2. Hubei University
Abstract
Real-time 3D reconstruction has been applied in many fields, calling
for many ongoing efforts to improve the speed and accuracy of the used
algorithms. Phase shifting profilometry based on the Lucas–Kanade
optical flow method is a fast and highly precise method to construct
and display the three-dimensional shape of objects. However, in this
method, a dense optical flow calculation is required for the
modulation image corresponding to the acquired deformed fringe
pattern, which consumes a lot of time and affects the real-time
performance of 3D reconstruction and display. Therefore, this paper
proposes a dynamic 3D phase shifting profilometry based on a corner
optical flow algorithm to mitigate this issue. Therein, the Harris
corner algorithm is utilized to locate the feature points of the
measured object, so that the optical flow needs to calculate for only
the feature points which, greatly reduces the amount of calculation
time. Both our experiments and simulations show that our method
improves the efficiency of pixel matching by four times and 3D
reconstruction by two times.
Funder
Science and Technology Research Program
Young Talent Project of Educational Commission of Hubei
Province
Natural Science Foundation of Hubei
Province
General Class Youth Project of Natural
Science Foundation of Hubei Province
Hubei University
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering