Three-dimensional object detection
Номер патента: EP4298613A1
Опубликовано: 03-01-2024
Автор(ы): Han Hu, Xin Tong, Yue Cao, Ze Liu, Zheng Zhang
Принадлежит: Microsoft Technology Licensing LLC
Опубликовано: 03-01-2024
Автор(ы): Han Hu, Xin Tong, Yue Cao, Ze Liu, Zheng Zhang
Принадлежит: Microsoft Technology Licensing LLC
Реферат: According to implementations of the subject matter described herein, a solution is proposed for three-dimensional (3D) object detection. In this solution, feature representations of a plurality of points are extracted from point cloud data related to a 3D object. Initial feature representations of a set of candidate 3D objects are determined based on the feature representations of the plurality of points. Based on the feature representations of the plurality of points and the initial feature representations of the set of candidate 3D objects, a detection result for the 3D object is generated by determining self-correlations between the set of candidate 3D objects and cross-correlations between the plurality of points and the set of candidate 3D objects. In this way, without grouping points into candidate 3D objects, the 3D object in a 3D scene can be localized and recognized based on the self-correlations and cross-correlations.
Three-Dimensional Object Detection
Номер патента: US20240135576A1. Автор: Zheng Zhang,Xin Tong,Yue Cao,Ze Liu,Han Hu. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-04-25.