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公开(公告)号:US20210174537A1
公开(公告)日:2021-06-10
申请号:US16894123
申请日:2020-06-05
Inventor: Xiaoqing Ye , Xiao Tan , Wei Zhang , Hao Sun , Errui Ding
Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object in an image. The method includes: performing following prediction operations using a pre-trained neural network: detecting a target object in a two-dimensional image to determine a two-dimensional bounding box of the target object; and determining a relative position constraint relationship between the two-dimensional bounding box of the target object and a three-dimensional projection bounding box obtained by projecting a three-dimensional bounding box of the target object into the two-dimensional image; and the method further including: determining the three-dimensional projection bounding box of the target object, based on the two-dimensional bounding box of the target object and the relative position constraint relationship between the two-dimensional bounding box of the target object and the three-dimensional projection bounding box.
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公开(公告)号:US20210064919A1
公开(公告)日:2021-03-04
申请号:US16869024
申请日:2020-05-07
Inventor: Wei Zhang , Xiao Tan , Hao Sun , Shilei Wen , Errui Ding
Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing an image. A specific embodiment of the method includes: acquiring a feature map of a target image, where the target image contains a target object; determining a local feature map of a target size in the feature map; combining features of different channels in the local feature map to obtain a local texture feature map; and obtaining location information of the target object based on the local texture feature map.
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