Irina Nurutdinova, Ronny Hänsch, Vincent Mühler, Stavroula Bourou, Alexandra I. Papadaki
Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case, VISAPP 2017
Specularities, shadows, and occlusions are phenomena that commonly occur in images and cause a loss of information. This project addresses the task to detect and remove all these phenomena simultaneously in order to obtain a corrected image with all information visible and recognizable. The provided (semi-)automatic algorithm utilizes two input images that depict a planar object. The images can be acquired without special equipment (such as flash systems) or restrictions on the spatial camera layout.
SpeculaR
===
SpeculaR implements an approach to detect and remove specular, shadow, or occluded regions in images of planar objects by replacing them with meaningful information from additional views.
===
The program was tested on Windows systems only, but no Windows-specific libraries were included. Additional requirements:
- OpenCV 3.x.
Irina Nurutdinova, Ronny H\"ansch, Vincent M\"uhler, Stavroula Bourou, Alexandra I. Papadaki, Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case, VISAPP, tba, February 2017, Pages tba
@ARTICLE{ Nurutdinova:2017:VISAPP, author = {Nurutdinova, Irina and H\"ansch, Ronny and M\"uhler, Vincent and Bourou, Stavroula and Papadaki, Alexandra I.}, title = {Specularity, Shadow, and Occlusion Removal for Planar Objects in Stereo Case}, journal= {VISAPP}, volume = {tba}, pages = {tba}, year = {2017}, URL = {tba}, DOI = {tba} }