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An address event stream data denoising method for a dynamic vision sensor

A visual sensor and event stream technology, applied in the field of computer vision, can solve the problems of reducing denoising efficiency, losing time attributes, reducing the integrity of data information, etc., to achieve the effect of improving denoising efficiency and ensuring integrity

Active Publication Date: 2019-05-07
XIDIAN UNIV
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  • Claims
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Problems solved by technology

But the defect is that this method converts the three-dimensional address event stream data output by the dynamic visual sensor into a two-dimensional frame image, and uses the two-dimensional frame image as the image to be denoised, not only because of the loss of the address event stream data. The time attribute leads to a reduction in the integrity of the data information, and at the same time reduces the denoising efficiency

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  • An address event stream data denoising method for a dynamic vision sensor
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  • An address event stream data denoising method for a dynamic vision sensor

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[0036] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:

[0037] Refer to attached figure 1 , the implementation steps of the present invention are as follows:

[0038] Step 1) Construct a probabilistic undirected graph model:

[0039] (1a) Assuming that the address event stream data X output by the dynamic visual sensor includes M events, M=5000000 in the present invention, the address event stream data of X after denoising is Y, and each event x in X i,j,t Event x in its spatiotemporal neighborhood i±Δi,j±Δj,t 、x i,j,t±Δt 、x i±Δi,j±Δj,t±Δt has correlation, x i,j,t Event y corresponding to Y i,j,t Has correlation, x in the present invention i,j,t ∈{+1,-1},y i,j,t ∈{+1,-1}, where i, j and t represent the row address, column address and activation time of a single event, i=1,2,...,768, j=1,2,...,640,t ≥1, Δi, Δj and Δt are the offset of row address, column address and activation time respectiv...

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Abstract

The invention provides an address event stream data denoising method for a dynamic vision sensor, which mainly solves the defect of denoising address event stream data output by the dynamic vision sensor in the prior art, and comprises the following steps of: constructing a probability undirected graph model; Obtaining an energy function of the probability undirected graph model; Performing eventregion division on the address event flow data; And carrying out denoising processing on each event area. According to the invention, the correlation between events in address event flow data output by the dynamic vision sensor is utilized; wherein the construction comprises event line address information; a probabilistic undirected graph model of column address information and activation time information, The address event stream data is divided into a plurality of event areas for denoising, so that the integrity of the address event stream data information output by the dynamic vision sensoris ensured, the denoising efficiency of the address event stream data is improved, and the method can be used for denoising the address event stream data output by the dynamic vision sensor.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a method for denoising address event stream data of a dynamic visual sensor, which can be used for denoising the address event stream data output by the dynamic visual sensor. Background technique [0002] With breakthroughs and leaps in the field of science and technology, computer vision research continues to deepen, and image and video processing have achieved great results in recent years. Various cameras can be seen everywhere in life. The sensor used by the camera is the key to the image quality of the camera. The essential. At present, traditional image sensors such as CCD and CMOS sensors have been widely used in daily life. Simply put, CCD image sensors mainly complete the generation and transfer of signal charges through photosensitive element arrays and charge transfer devices, thereby converting optical signals The CMOS image sensor integrates components with s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15
Inventor 吴金建马传威石光明
Owner XIDIAN UNIV
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