Wang, TaoHe, XumingBarnes, Nick2015-12-13November 19784990644109http://hdl.handle.net/1885/71580We address the problem of localizing glass objects with a multimodal RGB-D camera. Our method integrates the intensity and depth information from a single view point, and builds a Markov Random Field that predicts glass boundary and region jointly. BasedKeywords: Depth information; Depth value; Markov Random Fields; Multi-modal; Object localization; Rgb-d cameras; Single view points; Markov processes; Pattern recognition; GlassGlass object localization by joint inference of boundary and depth20122016-02-24