4results about How to "Shorten calculation time" patented technology

The present application relates to the technical field of three-dimensional reconstruction, and in particular to an object three-dimensional reconstruction system based on deep learning, which introduces an adaptive cost aggregation method with visibility perception for cost volume aggregation, acquires the visibility of pixel points in the view through a network, and can improve the reconstruction integrity of the occluded area; a variance-based method is used to predict the disparity range of each pixel, and a spatially-varying depth hypothesis surface is constructed for depth estimation in the next stage, and a residual and channel attention guided fusion depth map optimization module is proposed in the last stage to obtain an optimized depth map; an improved depth map fusion algorithm is used to combine the pixel point and 3D point re-projection error for consistency checking to obtain a dense point cloud. Quantitative and qualitative comparison results of the present application and other methods on the DTU dataset show that the present application can reconstruct a scene with better details, and achieves the purposes of reducing GPU memory consumption and computation time.

The present application relates to the technical field of image recognition, and discloses a detection method, device and equipment for distracted driving behavior and a storage medium, which are used to improve the recognition accuracy of distracted driving behavior. The detection method for distracted driving behavior comprises the following steps: obtaining initial driving video data of a driver, performing data processing on the initial driving video data, and obtaining to-be-recognized behavior video data; calling a preset distracted driving behavior model to recognize the to-be-recognized behavior video data; if the driver has candidate distracted driving behavior, performing special behavior detection on the driver and vehicle driving condition detection on a target vehicle in which the driver is located; and if the driver has no special behavior and the target vehicle is in a normal vehicle driving condition, it is determined that the driver has target distracted driving behavior.

The specification discloses a navigation structure generation method and device, a storage medium and an electronic device, wherein the method comprises: obtaining three-dimensional modeling data corresponding to each building in a target geographical area, and a regional image corresponding to the target geographical area; determining a building road network of at least one floor in each building based on the three-dimensional modeling data; generating a road network structure of the target geographical area based on an outdoor road network in the regional image and the building road network; the outdoor road network is other road network in the regional image except the building road network; mapping the road network structure into a planar graph data structure; obtaining a structure parameter corresponding to the graph data structure; and using the specification, the three-dimensional data of the target geographical area is converted into planar data, and the structure parameter of the graph data structure corresponding to the target geographical area is calculated according to the planar data, so as to improve the accuracy and efficiency of the navigation path.