Invention Grant
- Patent Title: Methods for encoding point cloud feature
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Application No.: US16953711Application Date: 2020-11-20
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Publication No.: US11380112B2Publication Date: 2022-07-05
- Inventor: Maosheng Ye , Shuangjie Xu , Tongyi Cao
- Applicant: SHENZHEN DEEPROUTE.AI CO., LTD
- Applicant Address: CN Shenzhen
- Assignee: SHENZHEN DEEPROUTE.AI CO., LTD
- Current Assignee: SHENZHEN DEEPROUTE.AI CO., LTD
- Current Assignee Address: CN Shenzhen
- Agency: Dorsey & Whitney LLP
- Main IPC: G06V20/64
- IPC: G06V20/64 ; G06K9/62 ; G06V10/88 ; G06T17/00

Abstract:
A method for encoding a point cloud feature includes: obtaining an original point cloud, generating point-wise hybrid scale voxel features by conducting hybrid scale voxelization on the original point cloud; generating voxel-wise attention features using spatial features and voxel features of points in a voxel at each voxel scale; aggregating the hybrid scale voxel features and the attention features to obtain voxel-wise projection scale information; and mapping the voxel-wise projection scale information to pseudo image features at projection scales. In this way, points can be retained during voxelization, and a feature encoding network is guided by the attention features to be more attentive to interrelationships between points in the voxels, thereby increasing accuracy of three-dimensional object detection.
Public/Granted literature
- US20220164566A1 METHODS FOR ENCODING POINT CLOUD FEATURE Public/Granted day:2022-05-26
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