Invention Grant
- Patent Title: Robust feature identification for image-based object recognition
- Patent Title (中): 用于基于图像的对象识别的鲁棒特征识别
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Application No.: US14696202Application Date: 2015-04-24
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Publication No.: US09558426B2Publication Date: 2017-01-31
- Inventor: Bing Song , Liwen Lin , Mustafa Jaber
- 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: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/46 ; G06K9/52 ; G06T3/00 ; G06T3/40

Abstract:
Techniques are provided that include identifying robust features within a training image. Training features are generated by applying a feature detection algorithm to the training image, each training feature having a training feature location within the training image. At least a portion of the training image is transformed into a transformed image in accordance with a predefined image transformation. Transform features are generated by applying the feature detection algorithm to the transformed image, each transform feature having a transform feature location within the transformed image. The training feature locations of the training features are mapped to corresponding training feature transformed locations within the transformed image in accordance with the predefined image transformation, and a robust feature set is compiled by selecting robust features, wherein each robust feature represents a training feature having a training feature transformed location proximal to a transform feature location of one of the transform features.
Public/Granted literature
- US20150310306A1 ROBUST FEATURE IDENTIFICATION FOR IMAGE-BASED OBJECT RECOGNITION Public/Granted day:2015-10-29
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