Acquisition of Multispectral Bidirectional Reflectance Distribution Functions
3D multispectral acquisition
description
Transcript of 3D multispectral acquisition
3D MULTISPECTRAL ACQUISITION Steven Le Moan, Alamin MansouriUniversité de Bourgogne, Auxerre, FR
Workshop on Multispectral imaging and BiometricsGjøvik University College – November 2010
OUTLINE Context & goals 3D multispectral scanner Depth imaging Space carving Perspectives
CONTEXT & GOALS How to describe a real-life object ?
Shape, color, touch, smell, sound,..
How does it look like ?
Shape + Color >> 3D multispectral
CONTEXT & GOALS What is a 3D multispectral dataset ?
Way too many dimensions !
One “pixel” is defined by:- 3 spatial coordinates (X,Y,Z)- N spectral values (B1, B2, ..., BN)
>> Multimodal (N+3) dimensional space
3D MULTISPECTRAL SCANNER System overview
Mansouri A., Etude, conception et réalisation d’un système multispectral de vision pour des applications de proximité et développement d’algorithmes de reconstruction de la reflectance, PhD Thesis, 2005
3D MULTISPECTRAL SCANNER Calibration
Caltech Calibration Toolbox for Matlab
3D MULTISPECTRAL SCANNER Acquisition
3D MULTISPECTRAL SCANNER Results
3D MULTISPECTRAL SCANNER Results
3D MULTISPECTRAL SCANNER Limitations (to be improved)
- Lack of convenience- Heavy calibration- What about pearlescence ?
DEPTH IMAGING Principle
The depth is printed in the blanket.
Page D., Part decomposition of 3D surfaces, PhD thesis, 2003
DEPTH IMAGING LIDAR (LIght Detection And Ranging)- Remote sensing applications- Short wavelengths (UV – nIR)
Time-of-flight cameras- Close-range applications (up to 60m)
- “One shot” acquisition
DEPTH IMAGING Examples
Roy M., Comparaison et analyse multirésolution de maillages irréguliers avec attributs d’apparence, PhD Thesis, 2004
DEPTH IMAGING Examples
Image provided by Norsk Elektro Optikk
SPACE CARVING Reconstruction from a set of images
PERSPECTIVES Convenience (“point & shoot”)
Fast calibration
Unified framework ?
THANK YOU FOR YOUR ATTENTION