METHOD AND ELECTRONIC DEVICE FOR DETECTING THREE-DIMENSIONAL OBJECTS USING NEURAL NETWORKS Russian patent published in 2022 - IPC G06T15/00 G06N20/00 

FIELD: computer vision technologies.

SUBSTANCE: present invention relates to computer vision technologies, and more particularly to methods and electronic devices for detecting three-dimensional objects or for understanding a scene, implemented at least in part with the help of neural networks. The effect is achieved by obtaining monocular images; extracting 2D feature maps from the monocular images by passing one or more monocular images through the 2D feature extraction portion; creating an average 3D voxel volume based on 2D feature maps; extracting a 2D representation of the 3D feature maps from the averaged 3D voxel volume by passing the averaged 3D voxel volume through the part encoder to extract the 3D features and performing 3D object detection as 2D object detection in the bird's eye view (BEV) plane, wherein the detection of two-dimensional objects in the BEV plane is implemented by passing a two-dimensional representation of three-dimensional feature maps through a part for detecting objects in street scenes containing parallel two-dimensional convolutional layers for classification and location.

EFFECT: improving the detection accuracy of three-dimensional objects in monocular images.

17 cl, 4 dwg