Invention Grant
- Patent Title: Landmark localization on objects in images using convolutional neural networks
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Application No.: US15709748Application Date: 2017-09-20
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Publication No.: US10289934B2Publication Date: 2019-05-14
- Inventor: Muhammad Zeeshan Zia , Quoc-Huy Tran , Xiang Yu , Manmohan Chandraker , Chi Li
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: JP Tokyo
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06F17/50 ; G06N3/02 ; G06T11/60 ; G06T15/40 ; G05D1/02 ; G08G1/16 ; G06T7/73 ; G06N3/08 ; G06T15/10 ; B60W30/00 ; G08G1/0962 ; H04N7/00 ; G06T7/55 ; G06K9/46

Abstract:
A system and method are provided. The system includes an image capture device configured to capture an actual image depicting an object. The system also includes a processor. The processor is configured to render, based on a set of 3D Computer Aided Design (CAD) models, a set of synthetic images with corresponding intermediate shape concept labels. The processor is also configured to form a multi-layer Convolutional Neural Network (CNN) which jointly models multiple intermediate shape concepts, based on the rendered synthetic images. The processor is further configured to perform an intra-class appearance variation-aware and occlusion-aware 3D object parsing on the actual image by applying the CNN to the actual image to output an image pair including a 2D geometric structure and a 3D geometric structure of the object depicted in the actual image.
Public/Granted literature
- US20180129910A1 LANDMARK LOCALIZATION ON OBJECTS IN IMAGES USING CONVOLUTIONAL NEURAL NETWORKS Public/Granted day:2018-05-10
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