On Recognizing Transparent Objects in Domestic Environments Using Fusion of Multiple Sensor Modalities
Alexander Hagg, Frederik Hegger, Paul G. Plöger · arXiv (Cornell University) · 2016
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.