Authors:
Irina Nurutdinova
;
Ronny Hänsch
;
Vincent Mühler
;
Stavroula Bourou
;
Alexandra I. Papadaki
and
Olaf Hellwich
Affiliation:
Technische Universität Berlin, Germany
Keyword(s):
Specularity Removal, Shadow Removal, Occlusions, Planar Objects, Specular-free Image, Shadow-free Image, Occlusion-free Image.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Segmentation and Grouping
Abstract:
Specularities, shadows, and occlusions are phenomena that commonly occur in images and cause a loss of information. This paper 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 proposed (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. Experiments were performed for various combinations of objects, phenomena occurring, and capturing conditions. The algorithm perfectly detects and removes specularities in all examined cases. Shadows and occlusions are satisfactorily detected and removed with minimal user intervention in the majority of the performed experiments.