A Solution of the Dichromatic Model for Multispectral Photometric Invariance

In this paper, we address the problem of photometric invariance in multispectral imaging making use of an optimisation approach based upon the dichromatic model. In this manner, we cast the problem of recovering the spectra of the illuminant, the surface reflectance and the shading and specular factors in a structural optimisation setting. Making use of the additional information provided by multispectral imaging and the structure of image patches, we recover the dichromatic parameters of the scene. To do this, we formulate a target cost function combining the dichromatic error and the smoothness priors for the surfaces under study. The dichromatic parameters are recovered through minimising this cost function in a coordinate descent manner. The algorithm is quite general in nature, admitting the enforcement of smoothness constraints and extending in a straightforward manner to trichromatic settings. Moreover, the objective function is convex with respect to the subset of variables to...

• Type: Journal
• Year: 2010
• Where: IJCV
• Authors: Cong Phuoc Huynh, Antonio Robles-Kelly
• Keywords: Cost Function, Dichromatic Parameters, IJCV 2010, Multispectral Imaging