Invention Grant
US09280748B2 Methods and systems for Anti-Hebbian and Hebbian (AHaH) feature extraction of surface manifolds using
有权
方法和系统的反Hebbian和hebbian(AHaH)特征提取表面歧管使用
- Patent Title: Methods and systems for Anti-Hebbian and Hebbian (AHaH) feature extraction of surface manifolds using
- Patent Title (中): 方法和系统的反Hebbian和hebbian(AHaH)特征提取表面歧管使用
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Application No.: US13613700Application Date: 2012-09-13
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Publication No.: US09280748B2Publication Date: 2016-03-08
- Inventor: Alex Nugent
- Applicant: Alex Nugent
- Applicant Address: US NM Santa Fe
- Assignee: Knowm Tech, LLC
- Current Assignee: Knowm Tech, LLC
- Current Assignee Address: US NM Santa Fe
- Agency: Ortiz & Lopez, PLLC
- Agent Kermit D. Lopez; Luis M. Ortiz
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N99/00 ; G06N5/02 ; G06N3/08 ; G06K9/62

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).
Public/Granted literature
- US20150262075A1 METHODS AND SYSTEMS FOR FEATURE EXTRACTION OF SURFACE MANIFOLDS Public/Granted day:2015-09-17
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