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Alignment element vectorization operating method based on virtual driving

A technology of linear elements and virtual driving, applied in animation production, image data processing, special data processing applications, etc., can solve problems such as low efficiency, achieve the effects of reducing action frequency, improving work efficiency, and simplifying verification and editing operations

Active Publication Date: 2012-03-28
INST OF SOFTWARE - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Frequent switching of tools is an important reason for low efficiency

Method used

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  • Alignment element vectorization operating method based on virtual driving
  • Alignment element vectorization operating method based on virtual driving
  • Alignment element vectorization operating method based on virtual driving

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Embodiment Construction

[0030] This Fangming is that the operator realizes the vectorization and verification of linear image elements through a virtual roaming method, such as figure 1 shown. Among them, the connection of the equipment and the function realization of the roaming operation software are completed on the computer; the roaming display device displays additional data such as images and routes to be vectorized, virtual vehicle status, reference cruise routes, virtual vehicles and status, etc., and can be an ordinary display , projector and other equipment; the virtual car driving device is the means for the operator to intervene in the driving of the virtual car, and the joystick is the first choice; the operator observes the image space state of the virtual car through the roaming display device, and uses the virtual car driving device to ensure the Progress on the correct path on the image.

[0031] The software used in the present invention also needs a rendering tool and a roaming op...

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Abstract

The invention discloses an alignment element vectorization operating method based on virtual driving, belonging to an image information extraction technology. The method comprises the following steps of: 1) taking an image to be vectorized as a roaming object to generate a two-dimensional or three-dimensional scene; creating a virtual rover, arranging the virtual rover on the image and setting a cruising route of the virtual rover; 2) encapsulating an automatic tracking module to bring the automatic tracking module into roaming operation software; interacting an operation system with the encapsulated automatic tracking module; 3) cruising by the virtual rover along the cruising route, verifying the cruising route; when the cruising route is missed, or the virtual rover is arranged at the terminal of the cruising route, or manual direction adjusting information is produced in an automatic cruising process, switching the virtual rover into a manual driving state to generate or edit the cruising route; and 4) respectively carrying out statistics on path lengths of the virtual rover in the automatic cruising state and the manual driving state, and verifying accuracy of the cruising route. The method disclosed by the invention improves operating efficiency and has strong adaptability.

Description

technical field [0001] The invention belongs to image information extraction technology, and relates to a virtual driving-based linear element vectorization operation method. The invention can be applied to the vectorization of linear elements such as roads, water systems, and contour lines based on remote sensing images or Sange maps. Background technique [0002] Remote sensing technology includes remote sensing data acquisition technology and information extraction technology. The current rapid development of remote sensing technology provides abundant data sources for the wide application of remote sensing images, but image information extraction technology lags far behind remote sensing data acquisition technology. Information extraction methods can be divided into three types according to the degree of automation: manual visual interpretation, computer-aided and automatic extraction. Among them, manual visual interpretation is the most reliable method, but the worklo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T13/00G06F19/00
Inventor 张金芳徐帆江赵军锁朱荣付彭进
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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