System for AHAH-based feature extraction of surface manifolds
AssigneeKnowmTech, LLC
InventorAlex Nugent
Life of this patent
Estimating the term…
Abstract
Methods and systems for feature extraction of LIDAR surface manifolds. LIDAR point data with respect to one or more LIDAR surface manifolds can be generated. An AHAH-based feature extraction operation can be automatically performed on the point data for compression and processing thereof. The results of the AHAH-based feature extraction operation can be output as a compressed binary label representative of the at least one surface manifold rather than the point data to afford a high-degree of compression for transmission or further processing thereof. Additionally, one or more voxels of a LIDAR point cloud composed of the point data can be scanned in order to recover the compressed binary label, which represents prototypical surface patches with respect to the LIDAR surface manifold(s).
Claims12
A system for feature extraction of surface manifolds, said system comprising:
- an optical remote sensor that measures a distance to and/or other properties of a target by illuminating said target with light, wherein said optical remote sensor provides sensor data indicative of at least one surface manifold and wherein point data is generated with respect to said at least one surface manifold;
- and
- an AHAH (Anti-Hebbian and Hebbian) based mechanism that performs an AHAH-based feature extraction operation on said point data for compression and processing thereof.
Dependencies are inferred from the claim text.