On Recognizing Transparent Objects in Domestic Environments Using Fusion   of Multiple Sensor Modalities
  Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios. We show that a combination of cues from multiple sensor modalities, including specular reflectance and unavailable depth information, allows us to capture a larger subset of household objects by extending a state of the art object recognition method. This leads to a significant increase in robustness of recognition over a larger set of commonly used objects. 
Alexander Hagg, Frederik Hegger, Paul Pl\"oger
cs.CV