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Communication Dans Un Congrès Année : 2013

Reconstruction of transparent objects in unstructured scenes with a depth camera

Résumé

The visual 3D reconstruction of transparent objects in unstructured scenes is challenging due to the complex image formation principles underlying their visual appearance. Most state-of-the-art reconstruc- tion methods ignore this problem and assume Lambertian reflection. Yet, transparent objects are relevant scene information for applica- tions in intelligent robotics (such as grasping) or virtual reality. In this work, we present an approach to detect non-planar transparent objects, like bottles or glasses, by specifically searching for geom- etry inconsistencies caused by refraction or reflection. Depth infor- mation is acquired using a Kinect sensor, which is moved within the scene in order to acquire multiple views. The individual measure- ments are combined into a 3D volume, yielding the objects' loca- tion and a rough shape estimate. Results are presented using various household objects made of glass or plastic.
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Dates et versions

hal-00845456 , version 1 (17-07-2013)

Identifiants

  • HAL Id : hal-00845456 , version 1

Citer

Nicolas Alt, Patrick Rives, Eckehard Steinbach. Reconstruction of transparent objects in unstructured scenes with a depth camera. IEEE Int. Conf. on Image Processing, ICIP'13, Sep 2013, Melbourne, Australia. ⟨hal-00845456⟩
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