Glass object localization by joint inference of boundary and depth
We 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. Based
|Collections||ANU Research Publications|
|Source:||Proceedings - International Conference on Pattern Recognition|
|01_Wang_Glass_object_localization_by_2012.pdf||1.48 MB||Adobe PDF||Request a copy|
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