The present invention provides a method of dense 3D scene reconstruction based on
monocular camera and belongs to the technical field of image processing and computer …

There is provided a method of training a neural network for reconstructing of a 3D point
cloud from 2D image (s), comprising: extracting point clouds each represented by an …

Abstract Systems and methods described herein relate to jointly training a machine-learning-
based monocular optical flow, depth, and scene flow estimator. One embodiment processes …

A computer-implemented method for determining and evaluating an objective tumor
response to an anti-cancer therapy using cross-sectional images includes accessing an …

Disclosed herein is a medical image reading assistant apparatus. The medical image
reading assistant apparatus includes a computing system. The computing system includes …

This document describes “Multi-domain Neighborhood Embedding and Weighting”(MNEW)
for use in processing point cloud data, including sparsely populated data obtained from a …

Provided is a system and method for estimating the motion of a target inside a tissue based
on surface deformation of the soft tissue. The system consists of an acquisition unit, a …

US11653815B2 - Recording device, image observation device, observation system, control
method of observation system, and computer-readable recording medium - Google Patents …

This document describes “Multi-domain Neighborhood Embedding and Weighting”(MNEW)
for use in processing point cloud data, including sparsely populated data obtained from a …

There is provided a method of generating instructions for presenting a graphical user
interface (GUI) for dynamically tracking at least one polyp in a plurality of endoscopic images …