Image processing method, device and electronic device including moving object

A moving object and image processing technology, applied in the field of image processing including moving objects, can solve problems such as optimization, not involving multi-purpose, multi-dimensional information fusion, complex algorithms, etc., and achieve the effect of easy rendering
CN107808388BActive Publication Date: 2021-10-12南京中科创达软件科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
南京中科创达软件科技有限公司
Publication Date
2021-10-12

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Abstract

The embodiment of the invention discloses an image processing method, device and electronic equipment including a moving object, and relates to the technical field of image processing. The method includes: extracting foreground feature points and background feature points of the current image by using depth information corresponding to the current image containing the operating target; determining a background motion vector based on the inertial data of the current image and the background feature points ; Obtain the current image pyramid of the current image and the historical frame image pyramid associated with the current image, and determine the foreground motion vector based on the current image pyramid, the historical frame image pyramid and the foreground feature points; The background motion vector and the foreground motion vector calculate the motion information of the moving object in the current image to form an object image associated with the current image. Through the foregoing solution, system resources can be saved, and image processing efficiency can be improved.
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Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to the image processing technology including moving objects. Background technique

[0002] Game rendering requires a lot of 3D model modeling, rasterization, texture mapping, rendering light and shadow effects, etc. The rendering complexity is very high, so it often causes frame rate bottlenecks.

[0003] The prior art mainly aims at the complete video sequence, calculates the non-key frame motion vector off-line, and realizes the interpolation between frames. Such methods have poor real-time performance and complex algorithms, and have not been optimized for mobile platforms. In addition, the existing technology mainly uses color information to analyze images, and does not fuse depth data to reduce redundant calculations and improve efficiency; at the same time, it does not fuse depth data, and adopts multi-scale image processing methods for different depths. Finally, th...

Claims

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