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Bayesian model-based dynamic flight time measurement method

A Bayesian model, dynamic flight technology, applied in the direction based on specific mathematical models, calculation models, instruments, etc., can solve problems such as errors

Inactive Publication Date: 2018-08-14
视缘(上海)智能科技有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, there is still a certain error in the high-precision time interval measurement, which is fatal in some important applications

Method used

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  • Bayesian model-based dynamic flight time measurement method
  • Bayesian model-based dynamic flight time measurement method
  • Bayesian model-based dynamic flight time measurement method

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Embodiment Construction

[0044] figure 1 It is a functional block diagram of a dynamic time-of-flight measurement method based on a Bayesian model of the present invention, mainly including a comparison between a static ToF camera and a dynamic ToF camera used in the present invention.

[0045] figure 2 It is a static ToF camera that uses the same measurement method to capture a set of infrared frames in each same time period, and only uses the captured information once to reconstruct the depth in the current time period.

[0046] image 3 It is the dynamic ToF camera of the present invention that integrates multiple time measurements (first indicator box 1 and second indicator box 2) in different time periods using different measurement modes to improve depth accuracy

[0047] Among them, the new perceptual inference framework can use different active measurement modes, as shown in the first indication box 1 and the second indication box 2, using the ability of previous observations and the probab...

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Abstract

The invention provides a Bayesian model-based dynamic flight time measurement method. The method comprises the following steps of S1, selecting a pulse ToF camera; S2, building a Bayesian flight timemodel; S3, building a multipath model; S4, building a state spatial model; and S5, building a steady temporal model. A generative model is built by using motions of the camera and an object as observation values; principle-based Bayesian inference is performed on the model; by shooting multiple frames of infrared images, depth estimation is obtained; a positive measurement mode is designed; supplementary information is collected as time goes on; and by a using a regression tree method, first real-time time integration is demonstrated in low operation and low memory operation. Through the Bayesian model-based dynamic flight time measurement method provided by the invention, the camera is improved in calculation efficiency and information capture; the depth precision is improved in a strongbaseline method; the timeliness and the transformation resistance are achieved; and the system precision is improved.

Description

technical field [0001] The invention relates to the field of simple and fast calibration of a three-dimensional imaging system in computer graphics, in particular to a dynamic time-of-flight measurement method based on a Bayesian model. Background technique [0002] As one of the core topics of computer vision research, time-of-flight technology is a rising technology, which incorporates advanced technologies in many fields such as artificial intelligence, image processing, pattern recognition, computer and automatic control. If it is used in a video tracking system, it has outstanding advantages such as concealment, intuitiveness, anti-electronic interference, and high cost performance. The flight time refers to the length of time interval for a signal or object to pass through the medium from the transmitting end to the receiving end. High precision The time interval measurement is widely used in pulse laser ranging, precision acoustic positioning, high-energy physics and ...

Claims

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Application Information

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IPC IPC(8): G06N7/00
CPCG06N7/01
Inventor 王国强周琪琦张斌骞志彦陈学伟
Owner 视缘(上海)智能科技有限公司
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