发明申请
- 专利标题: LANDMARK LOCALIZATION ON OBJECTS IN IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
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申请号: US15709748申请日: 2017-09-20
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公开(公告)号: US20180129910A1公开(公告)日: 2018-05-10
- 发明人: Muhammad Zeeshan Zia , Quoc-Huy Tran , Xiang Yu , Manmohan Chandraker , Chi Li
- 申请人: NEC Laboratories America, Inc.
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06T15/40 ; G06K9/00 ; G06N3/02 ; G06F17/50
摘要:
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.