Image recognition method and apparatus

An image recognition and image technology, applied in the field of image recognition, can solve problems such as low recognition accuracy, incomplete and irregular human body, and achieve the effect of improving accuracy and accuracy

Inactive Publication Date: 2017-10-24
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in practical applications, the human body in the image may not be complete
For example, the human body in some images is partially blocked by the scenery or still life, and only the side or part of the limbs of the human body can be seen; Incomplete or irregular poses that do not recognize

Method used

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  • Image recognition method and apparatus

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Experimental program
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Embodiment 1

[0044] An image recognition method provided by an embodiment of the present invention is introduced in detail.

[0045] refer to figure 1 , shows a flow chart of steps of an image recognition method according to Embodiment 1 of the present invention.

[0046] Step 101, using pre-collected image samples to train a prediction data set for predicting image classification; wherein, the image samples include images of complete target objects, images of partial target objects, and images that do not contain target objects, and the image classification Include the target image category that contains the target object and the non-target image category that does not contain the target object.

[0047] In a specific implementation, the category of the image may be predicted by using the prediction data set used for predicting the category of the image. Usually, the prediction data set mentioned above is also called an image classification model. The image classification model can cal...

Embodiment 2

[0061] An image recognition method provided by an embodiment of the present invention is introduced in detail.

[0062] refer to figure 2 , shows a flow chart of steps of an image recognition method according to Embodiment 2 of the present invention.

[0063] Step 201, using pre-collected image samples to train a prediction data set for predicting image classification; wherein, the image samples include images of complete target objects, images of partial target objects, and images that do not contain target objects, and the image classification Include the target image category that contains the target object and the non-target image category that does not contain the target object.

[0064] Step 202, using the prediction data set to perform image classification recognition on the current image, and obtain an image classification prediction result.

[0065] Step 203: Determine whether the current image belongs to a target image category or a non-target image category accor...

Embodiment 3

[0090] An image recognition device provided by an embodiment of the present invention is introduced in detail.

[0091] refer to image 3 , shows a structural block diagram of an image recognition device in Embodiment 3 of the present invention.

[0092] The device may include:

[0093] The prediction data set training module 301 is used to train a prediction data set for predicting image classification using pre-collected image samples; wherein, the image samples include images of complete target objects, images of partial target objects, and images that do not contain target objects images, the image categories including a target image category containing the target object and a non-target image category not containing the target object;

[0094] An image classification identification module 302, configured to use the prediction data set to perform image classification identification on the current image, and obtain an image classification prediction result;

[0095] An i...

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Abstract

The present invention provides an image recognition method and apparatus. The method comprises the following steps that: pre-collected image samples are adopted to train a prediction image set for predicting image categories, wherein the image samples include the images of a complete target object, the images of a part of the target object and images not containing the target object, and the image categories include a target image category containing the target object and a non-target image category not containing the target object; the prediction image set is utilized to perform image category recognition on a current image so as to obtain an image category prediction result; and whether the current image belongs to the target image category or the non-target image category is judged according to the image category prediction result. With the image recognition method and apparatus provided by the embodiment of the present invention adopted, the accuracy of image recognition can be improved.

Description

technical field [0001] The present invention relates to the field of image recognition, in particular to an image recognition method and an image recognition device. Background technique [0002] In the current image recognition technology, it mainly recognizes the overall characteristics of an object with a complete and regular posture in the image. For example, if there is a full frontal human body in the image, it can be identified that the image contains a person image. [0003] However, in practical applications, the human body in the image may not be complete. For example, the human body in some images is partially blocked by the scenery or still life, and only the side or part of the limbs of the human body can be seen; Incomplete or irregularly posed, it is not possible to recognize the presence of a human subject in the image. In the recognition of other objects such as animals and still life, there is also the problem that incomplete and irregular objects cannot...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06F18/2413G06F18/214
Inventor 李圣喜
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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