2014/12/26 by Zhengdong Zhang, Phillip Isola, Zhang, Zhengdong +3 · 1 citation
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Advanced Optical Imaging Technologies #Algorithm #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer graphics (images) #Computer science #Computer vision #Correctness #FOS: Computer and information sciences #Geometry #Image Enhancement Techniques #Inference #Mathematics #Object (grammar) #Optics #Physics #Pipeline (software) #Random lasers and scattering media #Specular highlight #Specular reflection #Surface (topology) #cs.CV
paper · pdf · doi:10.48550/arxiv.1412.7884
published in arXiv (Cornell University) (Cornell University)
arxiv created 2014/12/26 · openalex publication_date 2014/12/26 · arxiv updated 2014/12/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we study the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized mapping from the lighting to the image. Such specular objects have very different optical properties from both diffuse surfaces and smooth specular objects like metals, so we design special imaging system to robustly and effectively photograph them. We present simple yet reliable algorithms to calibrate the proposed system and do the inference. We conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline.