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Virtual Reality in Medical Education: A Concept Analysis

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Virtual reality (VR) remains inconsistently defined in medical education, with the term being applied to heterogeneous immersive and nonimmersive technologies. This inconsistency may hinder intervention classification, evidence synthesis, curriculum planning, and technology selection.
Arthur Rodrigues Lima   +7 more
wiley   +1 more source
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Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Following recent advances in detection, context modeling, and tracking, scene understanding has been the focus of renewed interest in computer vision research. This paper presents a novel probabilistic 3D scene model that integrates state-of-the-art multiclass object detection, object tracking and scene labeling together with geometric 3D reasoning ...
Stefan Roth   +2 more
exaly   +5 more sources

Causal Scene Understanding

Computer Vision and Image Understanding, 1995
Abstract Most computer vision systems are concerned with computing the whats and wheres of a scene. We describe a set of programs concerned instead with computing the whys and hows—why the scene is the way it is, and how an agent can interact with it.
Paul R. Cooper   +2 more
openaire   +2 more sources

Understanding scenes on many levels

2011 International Conference on Computer Vision, 2011
This paper presents a framework for image parsing with multiple label sets. For example, we may want to simultaneously label every image region according to its basic-level object category (car, building, road, tree, etc.), superordinate category (animal, vehicle, manmade object, natural object, etc.), geometric orientation (horizontal, vertical, etc.),
Joseph Tighe, Svetlana Lazebnik
openaire   +1 more source

A Parallel Framework for Scene Understanding

2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), 2021
Different related computer vision tasks make it possible to understand and analyze the scene totally. However, there is no useful framework combining different tasks for scene understanding. In this paper, we investigate the current state of scene understanding from different aspects relying on different computer vision tasks and propose an effective ...
Wenwen Zhang   +2 more
openaire   +2 more sources

Scene Understanding With Automotive Radar

IEEE Transactions on Intelligent Vehicles, 2020
Extracting semantic information solely from automotive radar data is a relatively new topic in the radar community. We present a complete pipeline to obtain semantic information for each target measured by a network of radar sensors. Static and dynamic objects are treated in two separate branches: In the first branch, a convolutional neural network ...
Ole Schumann   +4 more
openaire   +1 more source

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