24 march

• 09h30 – 10h30  Keynote paper : Mathieu Hébert, LaHC - Univ. of Saint Etienne (France)  "Color and spectral  mixings  in printed surfaces"
  
  
  Abstract :

  In this presentation the author will discusse the concept of subtractive color mixing widely used in color hardcopy applications and will show that a more realisticconcept would be “spectral mixing”: the physical description of the coloration of light by printed surfaces comes from the mixing of light components selectively absorbed by inks or dyes during their patch within the printing materials.
  
  Some classical reflectance equations for continuous tone and halftone prints will be reviewed and considered as spectral mixing laws. The challenge of extending these models to new inkless printing processes based on laser radiation will be also addressed.

• 14h00 – 15h00   Invited Speaker : Alessandro Rizzi, Università degli Studi di Milano (Italy) "The good, the bad and the ugly : the color we would like, the color we have, its appearance and dynamic range"
  

The basic assumption of many works on computational color and computer vision is that color information is, or can be, a precise, easy to obtain, sampling of the scene reflectances and light distribution. To this aim, the classic approach is to account for the device color space, profiling the device used. This is the good.

It is well-known these computations can be complex and not precise (3x3 matrix simplification, gamut mapping errors, etc..). This is the bad, but we can cope with this, since so much research has been done in the last 80 and more years on colorimetry, so to have more and more precise color management.

The ugly starts when other acquisition issues, often not taken into account, are considered.

This talk presents some “hidden” issues about color acquisition from real scenes that can introduce severe errors in the color information, together with some motivations for which, in the major part of the cases, they have not been regarded as serious problems to take into account. But, maybe, it is time to start considering them.

• 09h00 – 10h00  Invited Speaker : Joost  Van de  Weijer and Hahad Khan, Universitat Autonoma de Barcelona (Spain) "Color  features in the era of big data"

• 14h00 – 15h00  Invited Speaker : Masahiro Yamaguchi, Tokyo Institute of Technology (Japan) "Optics and computational methods for hybrid resolution spectral imaging"
  

• 09h00 – 10h00  Invited Speaker : Zoltan Kao and Levente Tamas, University of Szeged (Hunagry) "Relative pose estimation and fusion of 2D spectral  and 3D lidar images"
  
  Abstract :
  This paper presents a unified approach for the relative pose estimation of a spectral camera - 3D Lidar pair without the use of anyspecial calibration pattern or explicit point correspondence. The method works without specific setup and calibration targets, using only a pair of
  2D-3D data. Pose estimation is formulated as a 2D-3D nonlinear shape registration task which is solved without point correspondences or complex similarity metrics. The registration is then traced back to the solution of a non-linear system of equations which directly provides the calibration parameters between the bases of the two sensors. 
  The method has been extended both for perspective and omnidirectional central cameras and was tested on a large set of synthetic lidar camera image pairs as well as on real data acquired in outdoor environment.

• 14h00 - 15h00   Invited Speaker : Lindsay McDonald, University College London (UK) "Representation of Cultural Objects by Image Sets with Directional Illumination"