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Instant automatic camera planning method for dynamic multiple targets

An automatic planning, multi-objective technology, applied in sports accessories, 3D image processing, color TV parts, etc., can solve problems such as inapplicability

Active Publication Date: 2021-06-01
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this representation method is only applied to the tracking of two people, and is not suitable for tracking multiple targets based on the corresponding quantitative representation of camera information.

Method used

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  • Instant automatic camera planning method for dynamic multiple targets
  • Instant automatic camera planning method for dynamic multiple targets
  • Instant automatic camera planning method for dynamic multiple targets

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Experimental program
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Embodiment Construction

[0064] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0065] A kind of camera real-time automatic planning method for dynamic multi-target described in the present invention, the steps are as follows:

[0066] 1) First specify the target that the camera needs to shoot and automatically optimize the effect, and set the main target or main area; among them, define one or several of the multiple targets as the main target, and define the main active area of ​​the target as the main area. Construct the camera space around the target, and obtain the visual characteristic information of each target in the space relative to the camera. In this embodiment, the visual characteristic information includes the position of the target on the camera screen, the size of the target on the camera screen, the ratio of the target being blocked, the viewing angle of the camera relative to the target, the relative dis...

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Abstract

The invention relates to an instant automatic camera planning method for dynamic multiple targets, which comprises the following steps of: adopting a multi-person ellipsoid camera space, acquiring visual characteristics of each target relative to a camera in a scene, and performing real-time processing on information obtained in the scene by adopting a nonlinear programming optimization function method to obtain an optimized result; and therefore, relatively smooth optimization processing can be carried out on different motion problems of various targets. According to the method, the optimized camera shooting effect of each target corresponding to the current scene can be automatically obtained, and a certain degree of reference significance is provided for common games, animations and virtual reality fields in computer graphics, emerging unmanned aerial vehicle aerial photography, indoor three-dimensional reconstruction, scanning technologies and the like.

Description

technical field [0001] The invention relates to the technical field of computer-aided control imaging, and more specifically, relates to a real-time automatic camera planning method for dynamic multi-targets. Background technique [0002] Camera planning is not only an important research topic in traditional graphics fields such as movies and games, but also has great application potential in some emerging technologies such as drone aerial photography, 3D indoor scanning and 3D indoor object recognition. [0003] In real life, real-time camera planning for dynamic multi-target scenes is a relatively common problem, such as multi-person sports competitions, multi-person stage performances, racing cars, etc. For example, during a football game, players on the field are always in motion. In reality, photographers need to analyze the current movement of multiple characters based on experience, and adjust the camera to the current optimal viewing angle. In the field of computer ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232G06F30/20G06T15/20A63F13/525
CPCG06T15/20A63F13/525G06F30/20H04N23/69H04N23/695
Inventor 林俊聪雷钧朱呈祥郭诗辉尤延铖
Owner XIAMEN UNIV