Estimating Photometric Properties from Image Collections

Mauricio Díaz 1 Peter Sturm 1
1 STEEP - Sustainability transition, environment, economy and local policy
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
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 corresponding 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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00825593
Contributor : Mauricio Díaz <>
Submitted on : Friday, May 24, 2013 - 10:08:47 AM
Last modification on : Wednesday, April 11, 2018 - 1:57:57 AM

Links full text

Identifiers

Collections

Citation

Mauricio Díaz, Peter Sturm. Estimating Photometric Properties from Image Collections. Journal of Mathematical Imaging and Vision, Springer Verlag, 2013, 47 (1-2), pp.93-107. ⟨10.1007/s10851-013-0442-7⟩. ⟨hal-00825593⟩

Share

Metrics

Record views

489