3D Reconstruction of the Human Face using Multi-stereo Camera Network

Sandu, Vikram and Jana, Soumya (2019) 3D Reconstruction of the Human Face using Multi-stereo Camera Network. Masters thesis, Indian institute of technology Hyderabad.


Download (6MB) | Preview


This thesis presents a method to reconstruct a human face in 3D from its multiple 2D images acquired using multiple cameras arranged in a network. The image acquisition setup consists of three stereo pairs of cameras and two off-the-shelf projectors. Since a human face lacks many trackable features, a single structured light pattern was projected on the face to artificially create sufficient number of feature points. The image acquisition was instantaneous, whereas the 3D reconstruction — a computation-heavy process, involving minimization of sum of squared reprojection error — was performed offline. Minimization of the underlying objective function, known to possess large number of local minima, was carried out using genetic algorithm. Furthermore, The cost function of the camera network was defined in a way that allows us to get the 3D information over a large part of the periphery of the face. Our method achieved true-to-scale reconstruction with satisfactory accuracy, as revealed by measurements of certain key facial features. Furthermore, inspection of the reconstructed point cloud from different perspectives provided visual confirmation that shape was also preserved.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Structured light pattern, 3D reconstruction, ASIFT
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 11 Jul 2019 05:02
Last Modified: 11 Jul 2019 05:02
URI: http://raiith.iith.ac.in/id/eprint/5693
Publisher URL:
Related URLs:

    Actions (login required)

    View Item View Item
    Statistics for RAIITH ePrint 5693 Statistics for this ePrint Item