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31.发明申请公开(公告)号：US20190066373A1
公开(公告)日：2019-02-28
申请号：US16029126
申请日：2018-07-06
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Mohammed E.F. Salem , Muhammad Zeeshan Zia , Paul Vernaza , Manmohan Chandraker
CPC classification number: G06K9/00798 , G06K9/00785 , G06K9/00825 , G06K9/46 , G06K9/4628 , G06K9/6262 , G06K9/6274 , G06K9/6276 , G06K9/629 , G06K9/66 , G06N3/0454 , G06N3/08 , G06T17/05 , G06T2200/08 , G06T2207/20081
Abstract: Systems and methods for correspondence estimation and flexible ground modeling include communicating two-dimensional (2D) images of an environment to a correspondence estimation module, including a first image and a second image captured by an image capturing device. First features, including geometric features and semantic features, are hierarchically extract from the first image with a first convolutional neural network (CNN) according to activation map weights, and second features, including geometric features and semantic features, are hierarchically extracted from the second image with a second CNN according to the activation map weights. Correspondences between the first features and the second features are estimated, including hierarchical fusing of geometric correspondences and semantic correspondences. A 3-dimensional (3D) model of a terrain is estimated using the estimated correspondences belonging to the terrain surface. Relative locations of elements and objects in the environment are determined according to the 3D model of the terrain. A user is notified of the relative locations.
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公开(公告)号：US20190064851A1
公开(公告)日：2019-02-28
申请号：US16100479
申请日：2018-08-10
Applicant: NEC Laboratories America, Inc.
Inventor： Quoc-Huy Tran , Manmohan Chandraker , Hyo Jin Kim
Abstract: A computer-implemented method, system, and computer program product are provided for a stabilization system utilizing pose estimation in an aerial drone. The method includes receiving, by a pose estimation system, a plurality of images from one or more cameras. The method also includes predicting, by the pose estimation system, a pose from the score map and a combined feature map, the combined feature map correlated from a pair of the plurality of images. The method additionally includes moving, by a propulsion system, the aerial drone responsive to the pose.
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33.发明申请公开(公告)号：US20180130229A1
公开(公告)日：2018-05-10
申请号：US15709849
申请日：2017-09-20
Applicant: NEC Laboratories America, Inc.
Inventor： Muhammad Zeeshan Zia , Quoc-Huy Tran , Xiang Yu , Manmohan Chandraker , Chi Li
CPC classification number: G06K9/6256 , B60T2201/022 , B60W30/00 , G05D1/0221 , G06F17/5009 , G06K9/00201 , G06K9/00208 , G06K9/00624 , G06K9/00771 , G06K9/00805 , G06K9/4628 , G06K9/6255 , G06N3/02 , G06N3/084 , G06T7/55 , G06T7/74 , G06T11/60 , G06T15/10 , G06T15/40 , G06T2207/20101 , G06T2207/30261 , G06T2210/22 , G08G1/0962 , G08G1/166 , H04N7/00
Abstract: A surveillance system and method are provided. The surveillance system includes an image capture device configured to capture an actual image of a target area depicting an object. The surveillance system further includes a processor. The processor is configured to render, based on a set of 3D Computer Aided Design (CAD) models, synthetic images with intermediate shape corresponding concept labels. The processor is further 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 also 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 generate an image pair including a 2D and 3D geometric structure of the object depicted in the actual image. The surveillance system further includes a display device configured to display the image pair.
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