Digital Optical Systems for Image Processing

Clave: 17A7503

No. de horas: 72

Unidades de crédito:  8

Créditos SATCA: 5

Tipo de asignatura: Optativa

Fecha de elaboración: 2016-10-31

Objetivo general:

Provide students with the theoretical concepts, computational algorithms, optical setups, and system calibration methods for three-dimensional surface scanning by non-contact digital fringe projection technology.


1.  Introduction

1.1  Structured illumination and digital fringeprojection

1.2 Location of points in space

1.3 Camera models

1.4 Projector models and gratingdesign

1.5 Gratings and fringe patterns


2. Fringe patterns and phasedemodulation

2.1 Intensity patternnormalization

2.2 Amplitude bias and correction

2.3 Phase carriers and wrappedphase extraction

2.4 Phase-shifting methods

2.5 Fourier fringe analysis

2.6 Phase-unwrapping


3. Calibration methods

3.1 Camera calibration

3.2 Calibration offringe-projection systems

3.3 Performance

3.4 Spatial dynamic range andresolution


4. Applications

4.1 Applied phase demodulation forporfilometry applications

4.2 Static scanning ofthree-dimensional surfaces

4.3 Dynamic scanning ofthree-dimensional surfaces

4.4 Digital three-dimensionalfacial imaging


[1] Mohamed Daoudi, Anuj Srivastava, Remco Veltkamp, 3D Face modeling, analysis and recognition, John Wiley & Sons Ltd, 2013.
[2] Nick Pears, Yonghuai Liu, and Peter Bunting (Eds), 3D Imaging, Analysis and Applications, Springer London, 2012.
[3] David A. Forsyth and Jean Ponce, Computer Vision: A modern Approach, 2nd Ed, Pearson Education Limited, 2012.
[4] Richard Szeliski, Computer Vision: Algorithms and Applications, Springer-Verlag London Limited, 2011.
[5] David Zhang and  Guangming Lu, 3D Biometrics: Systems and Applications, Springer Science+Business Media, New York, 2013
[6] Jason Geng, Structured-light 3D surface imaging: a tutorial Advances in Optics and Photonics 3(2), 128-160, 2011.