Glass object localization by joint inference of boundary and depth

Date

2012

Authors

Wang, Tao
He, Xuming
Barnes, Nick

Journal Title

Journal ISSN

Volume Title

Publisher

Conference Organising Committee

Abstract

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

Description

Keywords

Keywords: Depth information; Depth value; Markov Random Fields; Multi-modal; Object localization; Rgb-d cameras; Single view points; Markov processes; Pattern recognition; Glass

Citation

Source

Proceedings - International Conference on Pattern Recognition

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

Restricted until

2037-12-31