WebReal-Time High-Quality Specular Highlight Removal Using Efficient Pixel Clustering by Antonio Souza, Márcio Macedo, Verônica Nascimento and Bruno Oliveira. Introduction This is a C++/OpenCV/CUDA application for real-time specular highlight removal in still images. Technical details are provided in our SIBGRAPI 2024 paper. WebThe removal of highlights is further facilitated through the estimation of illumination chromaticity, which is done by employing orthogonal subspace projection. An important practical feature of the proposed method does not require face reflectance priors.

Highlight Removal of Multi-View Facial Images.

WebSpecular Highlight Removal in Facial Images. We present a method for removing specular highlight reflections in facial images that may contain varying illumination colors. This is accurately achieved through the use of physical and statistical properties of human skin and faces. We employ a melanin and hemoglobin based model to represent the ... WebHighlight removal is a fundamental and challenging task that has been an active field for decades. Although several methods have recently been improved for facial images, they … greenish tan color

arXiv:2207.09965v1 [cs.CV] 20 Jul 2024

WebMay 9, 2016 · Released: May 9, 2016 Implements specular removal in images captured from various view points Project description # Specularity removal in multi-viewpoint images The package is an open source utility to remove specularity in Images that has been captured from multiple viewpoints. #### Disclaimer WebOn the basis of the dichromatic reflection model, recent specular highlight removal techniques typically estimate and cluster illumination chromaticity values to separate diffuse and specular reflection components from a single image. While these techniques are able to obtain visually pleasing results, their clustering algorithms suffer from bad initialization or … WebRemoving specular highlight in an image is a fundamental research problem in computer vision and computer graphics. While various methods have been proposed, they typically do not work well for real-world images due to the presence of rich textures, complex materials, hard shadows, occlusions and color illumination, etc. flyers ducks