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Homographic invariant image simulation model and method based on mapping adaptive convolution

An image simulation and convolution technology, applied in the field of image simulation, can solve problems such as inability to construct image simulation methods, standard convolution does not obey the law of mapping distribution, etc.

Active Publication Date: 2018-02-27
SICHUAN UNIV
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Problems solved by technology

However, the standard convolution does not obey the mapping distribution law, so the above conclusion does not hold
[0038] In summary, no homography-invariant image simulation method can be constructed by applying standard convolutions before or after resampling

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  • Homographic invariant image simulation model and method based on mapping adaptive convolution
  • Homographic invariant image simulation model and method based on mapping adaptive convolution
  • Homographic invariant image simulation model and method based on mapping adaptive convolution

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[0113] as attached Figure 9 As shown, we systematically compare the accuracy of the two simulation methods for standard convolution-based image simulation and map-adapted convolution-based image simulation. Figure 10 We demonstrate the application advantages of map-adapted convolution in perspective-invariant matching methods.

[0114] Figure 9 In, (a) the left image is the front view image of the object surface (64*64). (a) The image on the right is the blurred image after applying standard Gaussian convolution to the image on the left. This image is used as a reference image, and all simulated frontal images are compared with this image to evaluate the simulation accuracy.

[0115] Figure 9 In order to compare the image simulation based on standard convolution (Equation (1.7)) and the image simulation based on mapping adaptive convolution (Equation (2.8)), consider that the optical center of the camera is located on the surface of a hemisphere, and the center of the h...

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Abstract

The invention discloses a homographic invariant image simulation model based on mapping adaptive convolution. The homographic invariant image simulation model is based on mapping adaptive convolutionof a variable change integration formula, is a variable change integration formula for standard convolution, is used for natural extension of the standard convolutional and has mapping adaptability. The invention also provides a homographic invariant image simulation method based on mapping adaptive convolution. When original images obtained by vidicons at different shooting orientations are usedfor simulating simulation images at the designated shooting orientations by adopting the model, consistent simulation images can be obtained based on the image simulation model based on mapping adaptive convolution, and the matching accuracy is improved.

Description

technical field [0001] The invention relates to an image simulation method, in particular to a homography invariant image simulation model and a simulation method based on mapping adaptive convolution, belonging to the technical field of image simulation. Background technique [0002] A smooth object surface can be a complex curved surface, and if a local surface is considered, the local surface can be approximated as a plane. For the original image with a planar structure, after being imaged by the camera, the image is still a planar structure. Due to the different shooting orientation (external parameters) and internal structure (internal parameters) of the camera, the shape characteristics of the image structure will change significantly with the camera parameters. Therefore, the shape characteristics of the same plane preimage are significantly different in different images obtained by cameras with different parameters. Establishing an accurate match between the image ...

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Application Information

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IPC IPC(8): G06T7/32G06T7/35
CPCG06T7/32G06T7/35
Inventor 李征徐文政
Owner SICHUAN UNIV
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