Color Subspaces as Photometric Invariants
International Journal of Computer Vision
Evolutive Parametric Approach for Specular Correction in the Dichromatic Reflection Model
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Removal of Specular Reflection Component Using Multi-view Images and 3D Object Model
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Real-time specular highlight removal using bilateral filtering
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Surface reflectance and normal estimation from photometric stereo
Computer Vision and Image Understanding
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We present a method for separating highlight reflections on textured surfaces. In contrast to previous techniques that use diffuse color information from outside the highlight area to constrain the solution, the proposed method further capitalizes on the spatial distributions of colors to resolve ambiguities in separation that often arise in real images. For highlight pixels in which a clear-cut separation cannot be determined from color space analysis, we evaluate possible separation solutions based on their consistency with diffuse texture characteristics outside the highlight. With consideration of color distributions in both the color space and the image space, appreciably enhanced separation performance can be attained in challenging cases.