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Predicting specularities in images, given the camera pose and scene geometry from SLAM, forms a challenging and open problem. It is nonetheless essential in several applications such as retexturing. A recent geometric model called JOLIMAS partially answers this problem, under the assumptions that the specularities are elliptical and the scene is planar. JOLIMAS models a moving specularity as the image...
Specularities, which are often visible in images, may be problematic in computer vision since they depend on parameters which are difficult to estimate in practice. We present an empirical model called JOLIMAS: JOint LIght-MAterial Specularity, which allows specularity prediction. JOLIMAS is reconstructed from images of specular reflections observed on a planar surface and implicitly includes light...
In this paper, we propose a generic and efficient method for real-time specular reflections detection in images. The method relies on a new thresholding technique applied in the Hue-Saturation-Value (HSV) color space. A detailed experimental study was conducted in this color space to highlight specular reflections' properties. Current state-of-the-art methods have difficulties with lighting jumps...
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