Exploiting Image Collections for Recovering Photometric Properties

Mauricio Díaz 1 Peter Sturm 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We address the problem of jointly estimating the scene illumination, the radiometric camera calibration and the reflectance properties of an object using a set of images from a community photo collection. The highly ill-posed nature of this problem is circumvented by using appropriate representations of illumination, an empirical model for the nonlinear function that relates image irradiance with intensity values and additional assumptions on the surface reflectance properties. Using a 3D model recovered from an unstructured set of images, we estimate the coefficients that represent the illumination for each image using a frequency framework. For each image, we also compute the correspond- ing camera response function. Additionally, we calculate a simple model for the reflectance properties of the 3D model. A robust non-linear optimization is proposed exploiting the high sparsity present in the problem.
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Mauricio Díaz, Peter Sturm. Exploiting Image Collections for Recovering Photometric Properties. CAIP 2011 - International Conference on Computer Analysis of Images and Patterns, Aug 2011, Seville, Spain. pp.253-260, ⟨10.1007/978-3-642-23678-5_29⟩. ⟨inria-00606149⟩

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