- Special Session on Reflectance Analysis
Chairs
Computational Intelligence Group, UPV/EHU
Contact email
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Description
El anlálisis de Reflectancia es un proceso fundamental en todos sistema de visión por computador. El conocimineto de las propiedades ópticas de los materiales y el comportamiento de la luz sobre estos, es lo que nos permite asociar la información contenida en la imagen con la realidad observada. Varios modelos de reflectancia han sido propuestos ( Dichromatic reflection model, BRDF y sus derivados) su aplicación es fundamental tanto para visión como para visualización. Son muchos los paradigmas concernientes; Color constancy, espacios de color, estudio de la luz, propiedades de los materiales, optics, photometry, radiometry,...
- El gran objetivo de esta Special Session es tener un punto de encuentro para investigadores en este area, algo inusual en otros congresos.
Reflectance Analysis is a key process for computer vision systems. The knowledge of optical and phisycs properties of materials under light efects, let us to find the relacionship between image information and observed reality. Some models had been proposed for reflectance (Dichromatic Reflection Model, BRDF and their derivatives) their application is key for vision process and for visualization process too. A lot of paradigms are related to reflectance analysis; color constancy, color spaces, light research, phisycs properties of materials, optics, photometry, radiometry, ...
- The goal of this Special Session is to serve a meeting point for researches in this area.
Important dates
Topics of interest
- Shape from shading
- Shape from Reflection Analysis
- Sepaparating Specular Component
- Reflectance Maps
- Reflectance Models
- Specular and Lambertian Surfaces
- Geometrics and Photometrics Invariants
- Methods for Chromatic Illummination Estimation
- Color Spaces for Reflectance Analysis
- Mathematical Morphology of Color Spaces and their applicantion in Reflectance Analysis
- Color Constancy
- Shadows
Program committee
- Bruce A. Maxwell
- Richard M. Friedhoff
- Casey A. Smith
- H. Ragheb
- R. Hancock
- Stephen Grossberg
- Z.G. Pan
- Jiuai Sun
- J.H. Xin
- P. Kakumanu
- N. Bourbakis
- Hui-Liang Shen
- Thomas M. Lehmann
- Todd Zickler
- Yihong Wu
- Kuk-Jin Yoon
- Yoo Jin Choi
- In-So Kweon
- Javier Toro
- Sei-Wang Chen
- Ron O. Dror
- Edward H. Adelson
- Alan S. Willsky
- Katsushi Ikeuchi
- Robby T. Tan
- Yoichi sato
- Ko Nishino
- Imari Sato
- Yana Mileva
- Andrés Bruhn
- Joachim Weickert
- Lavanya Sharan
- B. Jacquin
- A. Smolarz
- Peter Orbanz
- Joachim M. Buhmann
- Melvyn Smith
- Lyndon Smith
- Sagar Midha
- Jeff Bamber
- Lin Li
- Gus Wiseman
- Jun’ichiro Seyama
- Takao Sato
- J. Lellmann
- J. Balzer
- A. Rieder
- J. Beyerer
- Rogerio Feris
- Ramesh Raskar
- Karhan Tan
- Matthew Turk
- Roger Trias-Sanz
- Georges Stamon
- Jean Louchet
- Shinji Umeyama
- Guy Godin
- Todd Zickler
- Satya P. Mallick
- David J. Kriegman
- Peter N. Belhumeur
- Marc Ebner
- Harold B. Westlund
- Gary W. Meyer
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- Tandent Vision Science, Inc. USA
- Tandent Vision Science, Inc. USA
- Tandent Vision Science, Inc. USA
- Digital Imaging Research Centre, Kingston University London
- Department of Computer Science, University of York
- Laboratory of Sensorimotor Research, USA
- State Key Lab of CAD&CG, Zhejiang University, China
- Machine Vision Lab, Faculty of CEMS, University of the West of England, UK
- The Hong Kong Polytechnic University, Hong Kong, China
- ITRI/Department of Computer Science and Engineering, Wright State University, USA
- ITRI/Department of Computer Science and Engineering, Wright State University, USA
- Department of Information and Electronic Engineering, Zhejiang University, China
- Institute of Medical Informatics, Aachen University of Technology, Germany
- Harvard University, Cambridge, USA
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Robotics and Computer Vision Lab. Dept. of EECS, KAIST, Korea
- Mobile Multimedia Lab. LG Electronics Institute of Technology
- Robotics and Computer Vision Lab. Dept. of EECS, KAIST, Korea
- Grupo de Ingeniería Biomédica, Universidad de los Andes, Venezuela
- Department of Computer Science and Information Engineering National Taiwan Normal University, Taiwan
- Department of Electrical Engineering and Computer Science, MIT
- Department of Brain and Cognitive Sciences, MIT
- Department of Electrical Engineering and Computer Science, MIT
- Department of Computer Science The University of Tokyo
- Department of Computer Science The University of Tokyo
- The University of Tokyo
- The University of Tokyo
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