Collective-Reward Based Approach for Detection of Semi-Transparent Objects in Single Images

Abstract : 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.
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Article dans une revue
Computer Vision and Image Understanding, Elsevier, 2012, 116 (4), pp.484-499. 〈10.1016/j.cviu.2011.11.004〉
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https://hal.inria.fr/hal-00746538
Contributeur : Peter Sturm <>
Soumis le : lundi 29 octobre 2012 - 12:12:08
Dernière modification le : jeudi 11 janvier 2018 - 06:23:13

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Varun Raj Kompella, Peter Sturm. Collective-Reward Based Approach for Detection of Semi-Transparent Objects in Single Images. Computer Vision and Image Understanding, Elsevier, 2012, 116 (4), pp.484-499. 〈10.1016/j.cviu.2011.11.004〉. 〈hal-00746538〉

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