Abstract: One variation of a method for automatically mapping light elements in light structures arranged in an assembly includes: defining a sequence of test frames—each specifying activation of a unique subset of light elements in the assembly—executable by the set of light structures; serving the sequence of test frames to the assembly for execution; receiving photographic test images of the assembly, each photographic test image recorded during execution of one test frame by the assembly; for each photographic test image, identifying a location of a particular light element based on a local change in light level represented in the photographic test image, the particular light element activated by the set of light structures according to a test frame during recordation of the photographic test image; and aggregating locations of light elements identified in photographic test images into a virtual map representing positions of light elements within the assembly.

Abstract: One variation of a method for automatically mapping light elements in light structures arranged in an assembly includes: defining a sequence of test frames—each specifying activation of a unique subset of light elements in the assembly—executable by the set of light structures; serving the sequence of test frames to the assembly for execution; receiving photographic test images of the assembly, each photographic test image recorded during execution of one test frame by the assembly; for each photographic test image, identifying a location of a particular light element based on a local change in light level represented in the photographic test image, the particular light element activated by the set of light structures according to a test frame during recordation of the photographic test image; and aggregating locations of light elements identified in photographic test images into a virtual map representing positions of light elements within the assembly.

Abstract: One variation of a method for automatically mapping light elements in light structures arranged in an assembly includes: defining a sequence of test frames—each specifying activation of a unique subset of light elements in the assembly—executable by the set of light structures; serving the sequence of test frames to the assembly for execution; receiving photographic test images of the assembly, each photographic test image recorded during execution of one test frame by the assembly; for each photographic test image, identifying a location of a particular light element based on a local change in light level represented in the photographic test image, the particular light element activated by the set of light structures according to a test frame during recordation of the photographic test image; and aggregating locations of light elements identified in photographic test images into a virtual map representing positions of light elements within the assembly.

Abstract: One variation of a method for automatically mapping light elements in light structures arranged in an assembly includes: defining a sequence of test frames—each specifying activation of a unique subset of light elements in the assembly—executable by the set of light structures; serving the sequence of test frames to the assembly for execution; receiving photographic test images of the assembly, each photographic test image recorded during execution of one test frame by the assembly; for each photographic test image, identifying a location of a particular light element based on a local change in light level represented in the photographic test image, the particular light element activated by the set of light structures according to a test frame during recordation of the photographic test image; and aggregating locations of light elements identified in photographic test images into a virtual map representing positions of light elements within the assembly.

Abstract: One variation of a method for automatically mapping light elements in light structures arranged in an assembly includes: defining a sequence of test frames—each specifying activation of a unique subset of light elements in the assembly—executable by the set of light structures; serving the sequence of test frames to the assembly for execution; receiving photographic test images of the assembly, each photographic test image recorded during execution of one test frame by the assembly; for each photographic test image, identifying a location of a particular light element based on a local change in light level represented in the photographic test image, the particular light element activated by the set of light structures according to a test frame during recordation of the photographic test image; and aggregating locations of light elements identified in photographic test images into a virtual map representing positions of light elements within the assembly.

Abstract: The system includes a 3D feature detection module and 3D recognition module 202. The 3D feature detection module processes 3D surface map of a biometric object, wherein the 3D surface map includes a plurality of 3D coordinates. The 3D feature detection module determines whether one or more types of 3D features are present in the 3D surface map and generates 3D feature data including 3D coordinates and feature type for the detected features. The 3D recognition module compares the 3D feature data with biometric data sets for identified persons. The 3D recognition module determines a match between the 3D feature data and one of the biometric data sets when a confidence value exceeds a threshold.

Abstract: The system includes a 3D feature detection module and 3D recognition module 202. The 3D feature detection module processes 3D surface map of a biometric object, wherein the 3D surface map includes a plurality of 3D coordinates. The 3D feature detection module determines whether one or more types of 3D features are present in the 3D surface map and generates 3D feature data including 3D coordinates and feature type for the detected features. The 3D recognition module compares the 3D feature data with biometric data sets for identified persons. The 3D recognition module determines a match between the 3D feature data and one of the biometric data sets when a confidence value exceeds a threshold.

Abstract: The system includes a 3D feature detection module and 3D recognition module 202. The 3D feature detection module processes 3D surface map of a biometric object, wherein the 3D surface map includes a plurality of 3D coordinates. The 3D feature detection module determines whether one or more types of 3D features are present in the 3D surface map and generates 3D feature data including 3D coordinates and feature type for the detected features. The 3D recognition module compares the 3D feature data with biometric data sets for identified persons. The 3D recognition module determines a match between the 3D feature data and one of the biometric data sets when a confidence value exceeds a threshold.