Title :
SparkleVision: Seeing the world through random specular microfacets
Author :
Zhengdong Zhang;Phillip Isola;Edward H. Adelson
Author_Institution :
Massachusetts Institute of Technology, Cambridge, 02139, United States
fDate :
6/1/2015 12:00:00 AM
Abstract :
In this paper, we study the problem of reproducing the light 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 a 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.
Keywords :
"Cameras","Noise","Mirrors","Calibration","Lighting","Optical imaging","Image reconstruction"
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on
Electronic_ISBN :
2160-7516
DOI :
10.1109/CVPRW.2015.7301369