Invention Grant
- Patent Title: Image alignment using translation invariant feature matching
- Patent Title (中): 使用平移不变特征匹配的图像对齐
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Application No.: US12633784Application Date: 2009-12-08
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Publication No.: US08385689B2Publication Date: 2013-02-26
- Inventor: Puneeth Bilagunda Chandrashekar , Hemanth Kumar Sangappa , Suresh Kirthi Kumaraswamy
- Applicant: Puneeth Bilagunda Chandrashekar , Hemanth Kumar Sangappa , Suresh Kirthi Kumaraswamy
- Applicant Address: IN Bangalore
- Assignee: MindTree Limited
- Current Assignee: MindTree Limited
- Current Assignee Address: IN Bangalore
- Agency: Lipton, Weinberger & Husick
- Agent Ash Tankha
- Priority: IN2541/CHE/2009 20091021
- Main IPC: G06K9/36
- IPC: G06K9/36 ; G09G5/00

Abstract:
A computer implemented method and system is provided for aligning multiple overlapping images in real time using translation invariant feature matching. A user captures overlapping images comprising a first image and a second image using one or more image capture devices. An image aligning application determines one or more local maxima pixel points and local minima pixel points in the first image and the second image based on predetermined statistical criteria. The image aligning application performs iterative intra image correlation in the first image for selecting a predetermined number of feature points. The image aligning application performs iterative inter image correlation for the selected feature points, for determining a predetermined number of best correlated feature point pairs, and selects a matching feature point pair from the best correlated feature point pairs. The image aligning application aligns the first image and the second image using the selected matching feature point pair.
Public/Granted literature
- US20110091065A1 Image Alignment Using Translation Invariant Feature Matching Public/Granted day:2011-04-21
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