Invention Grant
US09589238B2 Methods for performing anti-hebbian and hebbian (AHAH) based feature extraction of surface manifolds for compression
有权
用于进行用于压缩的表面歧管的基于抗河北和哈比(AHAH)的特征提取的方法
- Patent Title: Methods for performing anti-hebbian and hebbian (AHAH) based feature extraction of surface manifolds for compression
- Patent Title (中): 用于进行用于压缩的表面歧管的基于抗河北和哈比(AHAH)的特征提取的方法
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Application No.: US15057184Application Date: 2016-03-01
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Publication No.: US09589238B2Publication Date: 2017-03-07
- Inventor: Alex Nugent
- Applicant: KnowmTech, LLC
- Applicant Address: US NM Santa Fe
- Assignee: KnowmTech, LLC
- Current Assignee: KnowmTech, 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 ; G06N3/063 ; G06N5/04

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
- US20160260028A1 METHODS AND SYSTEMS FOR FEATURE EXTRACTION OF SURFACE MANIFOLDS Public/Granted day:2016-09-08
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