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Method and apparatus for 3D image identification

An image recognition and image technology, which is applied in image communication, character and pattern recognition, instruments, etc., can solve the problems of time-consuming and labor-consuming, and there is no method for 3D image and non-3D image recognition, so as to save time and physical strength Effect

Inactive Publication Date: 2014-08-20
SHENZHEN CLOUD CUBE INFORMATIONTECH
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AI Technical Summary

Problems solved by technology

[0002] The existing algorithm does not provide a method for recognizing 3D images and non-3D images. People need to distinguish whether they are 3D images by naked eyes. This method is time-consuming and labor-intensive.

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  • Method and apparatus for 3D image identification

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Embodiment Construction

[0026] See figure 1 , figure 1 It is a schematic flowchart of an embodiment of the method for 3D image recognition in the present invention. Such as figure 1 As shown, this embodiment includes the process:

[0027] a. Input image;

[0028] b. Process the image into left and right grayscale images,

[0029] Automatically convert the input image into a grayscale image through an image conversion algorithm, and split the converted image into left and right image formats;

[0030] c. Use the corner detection algorithm to find the corners of the left and right grayscale images respectively,

[0031] In the embodiment of the present invention, the preferred corner detection algorithm includes the Harris corner detection algorithm, but other corner detection algorithms that can achieve the same purpose can also be used, and the present invention is not limited to this;

[0032] d. Use the corner point matching algorithm to match the corner points of the two images,

[0033] Wh...

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Abstract

The invention provides a method and apparatus for 3D image identification. The method comprises the following steps that: a, an image is inputted; b, the image is processed into a left gray level image and a right gray level image; c, a corner detection algorithm is used for carrying out processing on the left gray level image and the right gray level image to respectively solve corners; d, a corner matching algorithm is used for carrying out matching on the corners of the two images; e, an elimination algorithm is used for eliminating a wrong matched corner; and f, whether the number of pairs of matched corners of the two images is larger than or equal to N is determined; if so, the image is a 3D image; and if not, the image is a non-3D image. According to the invention, with the method and the apparatus, the 3D image and the non-3D image can be distinguished automatically without the need for the user to carry out eye distinguishing, thereby saving the time and energy of the user.

Description

technical field [0001] The invention relates to the field of image processing and image recognition, in particular to a method and device for 3D image recognition. Background technique [0002] Existing algorithms do not provide a method for identifying 3D images and non-3D images. People need to distinguish whether they are 3D images by naked eyes. This method is time-consuming and labor-intensive. [0003] In order to solve the above-mentioned technical problems, the present invention provides a fully automatic method and device to distinguish 3D images from non-3D images without relying on human eyes to distinguish carefully. Contents of the invention [0004] The invention provides a method and device for 3D image recognition. By processing the image into left and right grayscale images, performing corner detection, corner matching and error corner elimination on the converted left and right grayscale images, a certain The number of correct matching corner logarithms,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCH04N13/106H04N2013/0074
Inventor 刘美鸿高炜王丛
Owner SHENZHEN CLOUD CUBE INFORMATIONTECH
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