Tracking objects with point clouds from vision and touch

Tracking objects with point clouds from vision and touch

We present an object-tracking framework that fuses point cloud information from an RGB-D camera with tactile information from a GelSight contact sensor. GelSight can be treated as a source of dense local geometric information, which we incorporate directly into a conventional point-cloud-based artic...

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Bibliographic Details
Main Authors: Izatt, Gregory R., Mirano, Geronimo J., Adelson, Edward H, Tedrake, Russell L
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Online Access:http://hdl.handle.net/1721.1/111974
https://orcid.org/0000-0001-8916-1932
https://orcid.org/0000-0003-2222-6775
https://orcid.org/0000-0002-8712-7092

Internet

http://hdl.handle.net/1721.1/111974
https://orcid.org/0000-0001-8916-1932
https://orcid.org/0000-0003-2222-6775
https://orcid.org/0000-0002-8712-7092

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