A physical approach to color image understanding
International Journal of Computer Vision
A novel vector-based approach to color image retrieval using a vector angular-based distance measure
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Image-based environment matting
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Separation of Transparent Layers Using Focus
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
What Does Motion Reveal About Transparency?
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Geodesic Active Contour Framework for Finding Glass
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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Most computer and robot vision algorithms, be it for object detection, recognition, or reconstruction, are designed for opaque objects. Non-opaque objects have received less attention, although various special cases have been the subject of research efforts, especially the case of specular objects. The main objective of this paper is to provide a research work in the case of semi-transparent objects, i.e. objects that are transparent but also reflect light, typically objects made of glass. They are rather omnipresent in man-made environments (especially, windows and doors). Detection of these objects provides important information that can be used in a robot's navigational strategies such as obstacle avoidance, detection of oil/water spills on the floor, localization, etc. In order to achieve the detection of semi-transparent objects we developed a novel approach using a collective-reward based technique on an image captured by an uncalibrated camera. Several experiments were conducted over different scenarios to test the efficacy of the algorithm.