3D tree reconstruction algorithm contributes to a new era of urban planning Digital forestry tool, grounded in real-world imagery, provides a portal to future Purdue University image: ...

Dataset preparation: The 3D image reconstruction algorithm needs a large amount of 3D model data as a training set so that the deep learning algorithm can learn the morphological and structural ...

Instead of optical or LIDAR images, the researchers used Tomographic Synthetic Aperture Radar (TomoSar) to capture images.

A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics. By incorporating ...

This algorithm is designed to enhance a series of frames of video to construct a “super-resolution” single image to aid in identification. Initial trials of real-time video have produced ...

Researchers take optical coherence tomography to the next level With clearer imaging and enhanced resolution, new OCT approach could improve medical diagnostic imaging Date: June 2, 2022 Source ...

The system is an innovative model that extracts the features of the input image through a convolutional neural network, then generates the parameters of the 3D model through fully connected layers ...