Invention Grant
- Patent Title: Data driven localization using task-dependent representations
- Patent Title (中): 使用任务依赖表示的数据驱动本地化
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Application No.: US13803334Application Date: 2013-03-14
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Publication No.: US09158995B2Publication Date: 2015-10-13
- Inventor: Jose Antonio Rodriguez-Serrano , Diane Larlus-Larrondo
- Applicant: Xerox Corporation
- Applicant Address: US CT Norwalk
- Assignee: XEROX CORPORATION
- Current Assignee: XEROX CORPORATION
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/20 ; G06K9/62 ; G06K9/32

Abstract:
A computer implemented method for localization of an object, such as a license plate, in an input image includes generating a task-dependent representation of the input image based on relevance scores for the object to be localized. The relevance scores are output by a classifier for a plurality of locations in the input image, such as patches. The classifier is trained on patches extracted from training images and their respective relevance labels. One or more similar images are identified from a set of images, based on a comparison of the task-dependent representation of the input image and task-dependent representations of images in the set of images. A location of the object in the input image is identified based on object location annotations for the similar images.
Public/Granted literature
- US20140270350A1 DATA DRIVEN LOCALIZATION USING TASK-DEPENDENT REPRESENTATIONS Public/Granted day:2014-09-18
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