US 2020/0026905 A1Published application

Method for Three-Dimensional Graphic Reconstruction of a Vehicle

AssigneeConti Temic microelectronic GmbH

InventorsMichelle KARG, Olga PROKOFYEVA, Christian SCHARFENBERGER, Robert THIEL

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Abstract

A method for the three-dimensional graphic or pictorial reconstruction of a vehicle begins with capturing an image of at least one vehicle with a camera. A first rectangular border of the entire vehicle is captured in the image, to obtain a first rectangle. A second rectangular border of one side of a vehicle is captured in the image, to obtain a second rectangle, and it is determined whether the first and second rectangles are borders which relate to the same vehicle. If so, then it is determined whether a side orientation of the vehicle can be assigned from the two rectangles and, if so, the side orientation is determined. Finally, a three-dimensional reconstruction of the vehicle is performed from the first rectangle, the second rectangle and the side orientation.

Claims8

Dependent claims

A method for the three-dimensional pictorial reconstruction of a vehicle (600), having the steps of

capturing (401) an image of at least one vehicle with a camera (501),
capturing (402) a first rectangular border of the entire vehicle in the image, in order to obtain a first rectangle (203),
capturing (403) a second rectangular border of one side of a vehicle (600) in the image, in order to obtain a second rectangle (202),
determining (404) whether the first and the second rectangle are borders which relate to the same vehicle,
determining (405) whether a side orientation of the vehicle (600) can be assigned from the two rectangles, if the first rectangle and the second rectangle are borders which relate to the same vehicle,
determination (406) of the side orientation if a side orientation can be determined,
performing (407) a three-dimensional reconstruction of the vehicle from the first rectangle, the second rectangle and the side orientation.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/508,744Filed 11 Jul 2019
Priority: DE 10 2018 212 049.819 Jul 2018
Published: 23 Jan 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06V 20/56
Context or environment of the image: exterior to a vehicle by using sensors mounted on the vehicle
G06F 18/24143
Distances to prototypes: distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
G06V 10/454
With interaction between the filter responses, e.g. cortical complex cells: integrating the filters into a hierarchical structure, e.g.…
G06V 10/50
Extraction of image or video features: by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients…