Invention Grant
US09460366B2 Invariant-based dimensional reduction of object recognition features, systems and methods
有权
基于不变量的对象识别特征,系统和方法的尺寸减少
- Patent Title: Invariant-based dimensional reduction of object recognition features, systems and methods
- Patent Title (中): 基于不变量的对象识别特征,系统和方法的尺寸减少
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Application No.: US14626706Application Date: 2015-02-19
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Publication No.: US09460366B2Publication Date: 2016-10-04
- Inventor: Kamil Wnuk , Jeremi Sudol , Bing Song , Matheen Siddiqui , David McKinnon
- Applicant: Nant Holdings IP, LLC
- Applicant Address: US CA Culver City
- Assignee: Nant Holdings IP, LLC
- Current Assignee: Nant Holdings IP, LLC
- Current Assignee Address: US CA Culver City
- Agency: Mauriel Kapouytian Woods LLP
- Agent Andrew A. Noble; Michael Mauriel
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/46

Abstract:
A sensor data processing system and method is described. Contemplated systems and methods derive a first recognition trait of an object from a first data set that represents the object in a first environmental state. A second recognition trait of the object is then derived from a second data set that represents the object in a second environmental state. The sensor data processing systems and methods then identifies a mapping of elements of the first and second recognition traits in a new representation space. The mapping of elements satisfies a variance criterion for corresponding elements, which allows the mapping to be used for object recognition. The sensor data processing systems and methods described herein provide new object recognition techniques that are computationally efficient and can be performed in real-time by the mobile phone technology that is currently available.
Public/Granted literature
- US20150294188A1 Invariant-Based Dimensional Reduction Of Object Recognition Features, Systems And Methods Public/Granted day:2015-10-15
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