The visual perception of semi-transparent objects, such as drinking glasses, is an open challenging problem. Unlike opaque objects, semi-transparent objects violate many of the standard vision assumptions, among them that figureground segmentation contains salient boundaries. More specifically, reliable motion and stereo cues for segmenting semi-transparent objects are not present because of the infeasibility of establishing correspondence. This paper describes a new discovery that semi-transparent objects are salient on the plane-parallax image generated by the inverse perspective mapping. A novel cue is introduced that reveals objects extruding from a planar support surface. Points on the support plane are consistent with a planar homography transformation, whereas extruding points from textured surfaces violate this mapping. Furthermore, extruding semi-transparent objects violate the mapping due to the refraction of light and strong specularities. The utility of this new cue is demonstrated in a novel detection and localization approach, where the cue is matched to a database of 3D models of semi-transparent objects. Preliminary empirical results suggest that the presented approach produces a small set of candidate locations for semi-transparent objects and yields accurate localization.
Phillips et al. REF propose to use inverse perspective mapping for detection and pose estimation of transparent objects.
A novel stereoscopic cue for figure-ground segregation of semi-transparent objects
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
Computer Science