Monitoring activity with depth and multi-spectral camera
US-11245875-B2 · Feb 8, 2022 · US
US11520052B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11520052-B2 |
| Application number | US-202016913676-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 26, 2020 |
| Priority date | Jun 26, 2020 |
| Publication date | Dec 6, 2022 |
| Grant date | Dec 6, 2022 |
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Examples are disclosed herein relating to signal processing in a time-of-flight (ToF) system. One example provides, a method comprising emitting, via a light source, amplitude-modulated light toward an object, acquiring, via an image sensor comprising a plurality of pixels, a plurality of image frames capturing light emitted from the light source that is reflected by the object, wherein the plurality of image frames are acquired at two or more different frequencies of the amplitude-modulated light and collectively form a multifrequency frame, and for each pixel of the multifrequency frame, determining a brightness level, applying an adaptive denoising process by setting a kernel size based on the brightness level, and performing a phase unwrapping process to determine a depth value for the pixel.
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The invention claimed is: 1. A method for signal processing in a time of flight system, the method comprising: emitting, via a light source, amplitude-modulated light toward an object; acquiring, via an image sensor comprising a plurality of pixels, a plurality of image frames capturing light emitted from the light source that is reflected by the object, wherein the plurality of image frames are acquired at two or more different frequencies of the amplitude-modulated light and collectively form a multifrequency frame; and for each pixel of the multifrequency frame, determining a brightness level, applying an adaptive denoising process by setting a kernel size based on the brightness level, and performing a phase unwrapping process to determine a depth value for the pixel. 2. The method of claim 1 , wherein setting the kernel size comprises setting a larger kernel for a lower brightness level, and setting a smaller kernel for a higher brightness level. 3. The method of claim 2 , wherein setting a smaller kernel comprises adding zeroes to a kernel. 4. The method of claim 1 , wherein applying the adaptive denoising process comprises applying: S ( m , n , k ) = ∑ i = - I I ∑ j = - J J λ ( i , j , k ) S ~ ( m , n , k ) with ∑ i = - I I ∑ j = - J J λ ( i , j , k ) = 1 wherein {tilde over (S)}(m, n, k) is a signal corresponding to pixel (m,n) for a frequency k, of an array of size (M, N) with {m∈1, 2, . . . , M}, and {n∈1, 2, . . . , N}, for a frequency k∈1, 2, . . . , K, S(m, n, k) is a signal with reduced noise, represented as a weighted sum of neighboring pixels, {i∈−I, −I+1, . . . , I} and {j∈−J, −J+1, . . . , J}, and λ(i, j, k) are edge-preserving normalized weighting coefficients. 5. The method of claim 4 , wherein λ ( i , j , k ) = 1 Norm ( m , n , k ) ξ ( i , j , k ) , wherein ξ ( i , j , k )
Three-dimensional [3D] imaging with simultaneous measurement of time-of-flight at a two-dimensional [2D] array of receiver pixels, e.g. time-of-flight cameras or flash lidar · CPC title
Transmitters · CPC title
wherein the transmitted pulses use a frequency-modulated or phase-modulated carrier wave, e.g. for pulse compression of received signals · CPC title
Detector arrays, e.g. charge-transfer gates · CPC title
with phase comparison between the received signal and the contemporaneously transmitted signal · CPC title
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