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
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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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