Brian Lang

US Patent:

20180293740, Oct 11, 2018

Filed:

Jun 7, 2018

Appl. No.:

16/002874

Inventors:

- Northridge CA, US
Charles Jason Seely - Niwot CO, US
Brian William Lang - Alexandria VA, US

International Classification:

G06T 7/246
G01S 17/89
H04N 5/33
G01S 17/02
G01S 7/48
G01S 13/86
G01S 13/89
G01S 15/89

Abstract:

Embodiments herein provide for imaging and identification of obscured objects. One system herein includes a volumetric data source comprising three dimensional (3D) imaging data of a scene, and a two dimensional (2D) image source comprising 2D image data of the scene. The system also includes a processor operable to process the 2D data and the 3D data to generate a model of a material obscuring an object in the scene from sensors providing the 2D data and the 3D data. The processor is further operable to refine the model with detection data of the material from the volumetric data source, to detect the material obscuring the object based on the refined model, to generate an image of the scene, and to remove data pertaining to the material from the image to reveal the object in the image.

US Patent:

20160014395, Jan 14, 2016

Filed:

Jul 10, 2015

Appl. No.:

14/796201

Inventors:

- NORTHRIDGE CA, US
Charles Jason Seely - Niwot CO, US
Brian William Lang - Alexandria VA, US

International Classification:

H04N 13/02
G06K 9/46
G06T 7/00
H04N 5/33

Abstract:

Embodiments herein provide for imaging and identification of obscured objects. One system herein includes a volumetric data source comprising three dimensional (3D) imaging data of a scene, and a two dimensional (2D) image source comprising 2D image data of the scene. The system also includes a processor operable to process the 2D data and the 3D data to generate a model of a material obscuring an object in the scene from sensors providing the 2D data and the 3D data. The processor is further operable to refine the model with detection data of the material from the volumetric data source, to detect the material obscuring the object based on the refined model, to generate an image of the scene, and to remove data pertaining to the material from the image to reveal the object in the image.