Splicing effect evaluation and automatic fine-tuning method for surround view system based on self-adaptive feature point registration

An automatic fine-tuning and self-adaptive technology, applied in transportation and packaging, image data processing, image enhancement, etc., can solve problems such as result impact, achieve faster calculation speed, improve lighting adaptability and real-time performance, and improve long-term stability and reliability. effect of effect

Inactive Publication Date: 2018-06-29
SHENZHEN PERCHERRY TECH
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Problems solved by technology

[0009] In order to make up for the shortcomings of the existing technology and solve the problem that the algorithm based on feature point registration in the prior art will have a great impact on t...

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  • Splicing effect evaluation and automatic fine-tuning method for surround view system based on self-adaptive feature point registration
  • Splicing effect evaluation and automatic fine-tuning method for surround view system based on self-adaptive feature point registration

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Embodiment Construction

[0033] This embodiment is a method for splicing effect evaluation and automatic fine-tuning of the surround view system based on adaptive feature point registration, which is used for the surround view system, such as figure 1 As shown, in the surround view system, the images before pairwise stitching after distortion correction, perspective transformation correction and coordinate transformation are obtained, and then the following steps are used for calculation.

[0034] 1> Obtain the image before stitching after distortion correction, perspective transformation correction and coordinate transformation, and intercept the image taken at the same position calculated according to the stitching parameters. Before splicing, the image needs to be processed. The main processing methods include distortion correction, perspective transformation correction, and coordinate transformation.

[0035] Stitching parameters include camera internal parameters, camera external parameters, and ...

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Abstract

The invention discloses a splicing effect evaluation and automatic fine-tuning method for a surround view system based on self-adaptive feature point registration. The method comprises the steps thatimages before splicing is conducted are obtained, and photographed images at the same positions calculated according to splicing parameters are intercepted; a self-adaptive feature point registrationalgorithm is adopted to obtain the rotary translation matrix of the images at the same positions; the rotary translation matrix or the angle information and displacement information obtained by conducting calculation on the rotary translation matrix are taken as evaluation indicators of the splicing effect of the surround view system, and fine tuning is conducted on the splicing effect by using the matrix. By means of the method, the defects of the prior art is compensated, and the problem that the algorithm based on feature point registration has big influence on results when parameters of the algorithm are manually set in the prior art is solved.

Description

technical field [0001] The invention relates to a splicing effect evaluation and automatic fine-tuning method of a surround view system based on adaptive feature point registration. Background technique [0002] The panoramic surround view system sets up 4 to 8 wide-angle cameras around the car that can cover all the fields of view around the car, and processes the multi-channel video images collected at the same time into a 360-degree top view of the car body around the car, and finally displays it on the center console. The display on the screen allows the driver to clearly check whether there are obstacles around the vehicle, and understand the relative orientation and distance of the obstacles, helping the driver to park the vehicle easily. Such a parking system is not only very intuitive, but also does not have any blind spots, which can improve the driver's ability to calmly control the vehicle to park in place or pass through complex road surfaces, and effectively red...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T7/00G06T7/33B60R1/00
CPCB60R1/00B60R2300/105B60R2300/30B60R2300/607B60R2300/802B60R2300/806G06T3/4038G06T7/0002G06T7/33G06T2207/30252
Inventor 李伟超戴勇黄永红
Owner SHENZHEN PERCHERRY TECH
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