| CPC G01S 17/46 (2013.01) [G01B 11/22 (2013.01); G01C 21/16 (2013.01); G01S 17/66 (2013.01); G06T 5/20 (2013.01); G06T 5/70 (2024.01); G06T 7/20 (2013.01); G06T 7/521 (2017.01); G06T 7/73 (2017.01); G06V 10/145 (2022.01); G06V 10/60 (2022.01); G06V 10/764 (2022.01); H04N 23/56 (2023.01); H04N 23/74 (2023.01)] | 30 Claims |

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1. A detector for identifying at least one material property m comprising
at least one light projector, wherein the light projector is configured for generating at least one illumination pattern for illumination of the object, wherein the illumination pattern comprises at least one pattern selected from the group consisting of: at least one point pattern; a pseudo-random point pattern; a random point pattern or a quasi-random pattern; at least one Sobol pattern; at least one quasiperiodic pattern; at least one pattern comprising at least one pre-known feature; at least one regular pattern; at least one triangular pattern; at least one hexagonal pattern; at least one rectangular pattern; at least one pattern comprising convex uniform tilings; at least one line pattern comprising at least one line;
at least one line pattern comprising at least two lines; and at least one line pattern comprising parallel or crossing lines;
at least one camera comprising a matrix of optical sensors, the optical sensors each having a light-sensitive area, wherein the camera is configured for recording at least one reflection image of a light beam originating from at least one object; and
at least one processor configured for determining the material property by evaluation of at least one beam profile of the reflection image,
wherein the processor is configured for determining at least one material feature φ2m by applying at least one material dependent image filter Φ2 to the reflection image, wherein the material dependent image filter is at least one filter selected from the group consisting of: a luminance filter; a spot shape filter; a grey-level-occurrence-based contrast filter; a grey-level-occurrence-based energy filter; a grey-level-occurrence-based homogeneity filter; a grey-level-occurrence-based dissimilarity filter; a Law's energy filter; a threshold area filter; and a linear combination thereof;
wherein the processor is configured for determining the material property m by evaluating the material feature φ2m.
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