US 2018/0322357 A1Published application

System and method for image re-orientation

AssigneeBeijing Didi Infinity Technology and Development Co., Ltd.

InventorsXin CHEN, Min LI

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Abstract

Systems and methods are provided for image re-orientation. A computing system for image re-orientation may comprise one or more processors and a memory for storing instruction that, when executed by the processors, cause the system to perform: obtaining positive samples including text of a predetermined type in a predetermined orientation range and negative samples not including text of the predetermined type in the predetermined orientation range; training a model with the obtained positive and negative samples; receiving an image in an original orientation; applying the trained model to the received image; in response to determining that the received image does not comprise any text of the predetermined type in the predetermined orientation range, rotating the image by a predetermined angle and re-applying the trained model to the rotated image to determine if the rotated image comprises at least some text of the predetermined type in the predetermined orientation range.

Claims20

Dependent claims

A computing system for image re-orientation, comprising:

a memory storing instructions;
and
one or more processors in communication with the memory, wherein when executing the instructions, the one or more processors are configured to cause the system to:
obtain positive and negative samples, wherein a positive sample includes text of a predetermined type in a predetermined orientation range, and a negative sample does not include text of the predetermined type in the predetermined orientation range;
train a model with the obtained positive and negative samples;
receive an image in an original orientation;
apply the trained model to the received image to determine if the received image comprises at least some text of the predetermined type in the predetermined orientation range consistent with the positive samples;
in response to determining that the received image does not comprise any text of the predetermined type in the predetermined orientation range, rotate the image by a predetermined angle and re-apply the trained model to the rotated image to determine if the rotated image comprises at least some text of the predetermined type in the predetermined orientation range, until determining that the rotated image comprises at least some text of the predetermined type in the predetermined orientation range consistent with the positive samples or that the received image is rotated a predetermined number of degrees;
and
in response to determining that the received or rotated image comprises at least some text of the predetermined type in the predetermined orientation range, retain the image's current orientation.

7 more elements

An image re-orientation method, comprising:

obtaining positive and negative samples, wherein a positive sample includes text of a predetermined type in a predetermined orientation range, and a negative sample does not include text of the predetermined type in the predetermined orientation range;
training a model with the obtained positive and negative samples;
receiving an image in an original orientation;
applying the trained model to the received image to determine if the received image is consistent with the positive samples or negative samples;
in response to determining that the received image is consistent with the negative samples, rotating the image by a predetermined angle and re-applying the trained model to the rotated image to determine if the rotated image is consistent with the positive or negative samples or if the image is rotated a predetermined a predetermined number of degrees;
and
in response to determining that the received or rotated image is consistent with the positive samples, retaining the image's current orientation.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/990,570Filed 25 May 2018
Priority: 5 May 2017
Published: 8 Nov 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

G06T 7/73
Determining position or orientation of objects or cameras: using feature-based methods
G06F 18/2148
Generating training patterns; Bootstrap methods, e.g. bagging or boosting: characterised by the process organisation or structure, e.g. boosting…
G06T 3/60
Geometric image transformations in the plane of the image: rotation of whole images or parts thereof
G06V 10/242
Aligning, centring, orientation detection or correction of the image: by image rotation, e.g. by 90 degrees

Family

Application15/990,570Continuation
US 10,452,942 B2Related patent
US 2018/0322357 A1This patent

From the US filing history. Foreign family members aren’t listed.

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