Recovering Intrinsic Images by Minimizing Image Complexity
| dc.contributor.author | Stefani, Nicola | en_US |
| dc.contributor.author | Fusiello, Andrea | en_US |
| dc.contributor.editor | Andrea Giachetti and Silvia Biasotti and Marco Tarini | en_US |
| dc.date.accessioned | 2015-10-14T06:02:20Z | |
| dc.date.available | 2015-10-14T06:02:20Z | |
| dc.date.issued | 2015 | en_US |
| dc.description.abstract | This paper tackles the problem of decomposing a single image into two intrinsic images - a shading image (the illumination at each point) and a reflectance image (the colour at each point). Assuming a linear response of the camera, the acquired image I(x; y) is modelled as the product of the shading S(x; y) and the reflectance R(x; y) (collectively called intrinsic images): the goal is to recover S and R from I(x; y). The proposed method stems from the observation that R is "simpler" than I, in some sense related to its information content. This allows to formulate the problem as the minimization over all the possible S of a cost function describing the complexity of a tentative reflectance image given a shading image S. Given a 3D model of the scene, the orientation of the camera, and an illumination model, S can be parameterized with the position of light sources on a hemisphere. Preliminary experiments in a simulated environment validate the substance of the method, although many details will be subject of further improvement. | en_US |
| dc.description.sectionheaders | Images and Rendering | en_US |
| dc.description.seriesinformation | Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference | en_US |
| dc.identifier.doi | 10.2312/stag.20151297 | en_US |
| dc.identifier.isbn | 978-3-905674-97-2 | en_US |
| dc.identifier.pages | 103-111 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/stag.20151297 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Recovering Intrinsic Images by Minimizing Image Complexity | en_US |
Files
Original bundle
1 - 1 of 1