Abstract
The existence of specular highlight is a great obstacle of shape recovery. For a single gray-scale image with only intensity information, the existed highlight detection methods based on chroma or polarization analysis cannot directly be applied on it. So, a method using surface shape is provided, it makes full use of the imaging process. Through the surface normal estimation, compute the maximum a posteriori probability of each reflection composition under simulated annealing and detect the highlight areas. Finally, remove the highlight based on the assumption of curvature continuity. Experiments reveal that this method is effective on synthetic and real-world images, improves the accuracy of specular highlight removed for image combined specular highlight.
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