|
Accuracy enhancement of 3D profilometric human face reconstruction using undecimated wavelet analysis |
Applied Optics, Vol. 51, Issue 16, pp. 3120-3131 (2012)
http://dx.doi.org/10.1364/AO.51.003120
Enhanced HTML 
Acrobat PDF (1895 KB)
Abstract
Three-dimensional profilometric object reconstruction is a challenging topic; among the various methods available, we implement the line projection technique, which has superiorities over other methods. In order to increase the accuracy of measurement, a wavelet transform analysis is used in two stages of denoising and phase extraction. Because of the denoising capability and multiresolution characteristics of wavelet transforms, we employ an undecimated wavelet transform for noise reduction and a continuous wavelet transform in the phase extraction stage. The aim is to add a preprocessing stage of denoising based on the undecimated wavelet transform to enhance the accuracy of measurement in noisy patterns. The experimental results on the human face as a complex object demonstrate that the combination of undecimated and continuous wavelet transforms could increase measurement accuracy in noise-contaminated patterns.
© 2012 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2650) Image processing : Fringe analysis
(100.6890) Image processing : Three-dimensional image processing
(100.7410) Image processing : Wavelets
(150.6910) Machine vision : Three-dimensional sensing
(150.0155) Machine vision : Machine vision optics
ToC Category:
Image Processing
History
Original Manuscript: October 3, 2011
Revised Manuscript: December 14, 2011
Manuscript Accepted: December 14, 2011
Published: May 21, 2012
Citation
Fatemeh Mohammadi, Khosro Madanipour, and Amir Hossein Rezaie, "Accuracy enhancement of 3D profilometric human face reconstruction using undecimated wavelet analysis," Appl. Opt. 51, 3120-3131 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-16-3120
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Fringe-density estimation by continuous wavelet transform (AO)
- Three-dimensional shape measurement of non-full-field reflective surfaces (AO)
- Compression of digital holograms of three-dimensional objects using wavelets (OE)
- A practical algorithm for learning scene information from monocular video (OE)
- Fringe image analysis based on the amplitude modulation method (OE)
Related Conference Papers
- Spatial Position Detection of Three-Dimensional Object Using Complex Amplitude Derived from Fourier Transform Profilometry
- Spatial Position Detection of Three-Dimensional Object Using Complex Amplitude Derived from Fourier Transform Profilometry
- How Sharp Must Depth Maps Be for Good 3-D Video Synthesis: Experimental Evaluation and Applications
- Correction of Discontinuous Phase Maps in Structured Light Perfilometry
- Correction of Discontinuous Phase Maps in Structured Light Perfilometry
« Previous Article | Next Article »
OSA is a member of 