Object Recoloring based on Intrinsic Image Estimation

Object recoloring is one of the most popular photoediting tasks. The problem of object recoloring is highly under-constrained, and existing recoloring methods limit their application to objects lit by a white illuminant. Application of these methods to real-world scenes lit by colored illuminants, multiple illuminants, or interreflections, results in unrealistic recoloring of objects. In this paper, we focus on the recoloring of singlecolored objects presegmented from their background. The single-color constraint allows us to fit a more comprehensive physical model to the object. We show that this permits us to perform realistic recoloring of objects lit by colored lights, and multiple illuminants. Moreover, the model allows for more realistic scene relighting. Recoloring results on images captured by uncalibrated cameras demonstrate that the proposed framework obtains realistic recoloring for complex natural images. Furthermore we use the model to transfer color between objects and...

• Type: Journal
• Year: 2011
• Where: ICCV
• Authors: Shida Beigpour, Joost van de Weijer
• Keywords: Computer Vision, ICCV 2011, Natural Images, Realistic Scene, Uncalibrated Cameras