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Computer vision for non-visual spectral regimes and non-traditional applications Rama Chellappa UMD
Opening remarks – non-visual sensors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Problems addressed using hyperspectral images ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Estimating object reflectance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Nguyen and Chellappa, CVPR 2010 Workshop on Beyond visible spectrum
Tracking radiance
Reflectance tracking ,[object Object],[object Object]
Detection of land mines ,[object Object],[object Object],[object Object],[object Object],[object Object],Broadwater and Chellappa, PAMI 2007, SP, 2010
Radar images ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],R.T. Frankot and R. Chellappa, Estimation of Surface Topography from SAR Imagery Using Shape  from Shading Techniques, in Physics-Based Vision: Shape Recovery, (eds.), L.B. Wolff, S.A. Shafer and  G.E. Healey, Jones and Bartlett Publishers, Boston, MA, pp. 62-101, 1992.
LADAR images ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],R. Chellappa, S. Der and E.J.M. Rignot, Statistical Characterization of FLIR, LADAR and SAR Imagery, in Statistics and Images, K.V Mardia, (ed.), Carfax publishers,  Oxfordshire, U.K., pp. 273-312, 1994 .
Opening remarks – non-traditional applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Vision for Schlieren data reduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Extraction of oblique structures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Waggle dance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Anatomy/behavior modeling - prior ,[object Object],[object Object],[object Object],[object Object],Veeraraghavan, Chellappa and Srinivasn, IEEE TPAMI, March 2008 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Result ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Looking for a screw amid screws (MERL)
My advice to the young ones ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Fcv taxo chellappa

Editor's Notes

  1. Assumption1: can identify flat pixels in full shade and full sun. This is not a bad assumption since there are many ubiquitous materials such as asphalt and concrete have flat spectra Note: will not consider cos(rho) for now, since this is only a constant and not affect shape of spectra. It will be taken care by normalization at the end F is the fraction of sky unblocked