Results 91 to 100 of about 21,157 (187)

Improving Operator Depth Vision in Gastrointestinal Endoscopy: A Pilot Study of a New Three‐dimensional Imaging System

DEN Open, Volume 6, Issue 1, April 2026.
ABSTRACT Background and aims Traditional two‐dimensional (2D) gastrointestinal endoscopy lacks depth perception, leading to potential diagnostic errors. This study evaluates a novel software‐based three‐dimensional (3D) endoscopy system that converts 2D images into 3D, compatible with existing endoscopes.
Xiaoqing Lin, Kohei Ono, Ken Ohata, Etsuko Yamabe, Hidenori Eida, Miyuzen Kanamori, Naoki Tomita, Toshifumi Iida, Susumu Banjoya, Tomoya Kimura, Hiroshi Yamazaki, Koichi Furuta, Nao Takeuchi, Yoshiaki Kimoto, Yuki Kano, Yohei Minato, Shunya Takayanagi, Shinya Nagae, Yohei Ito, Ryoju Negishi, Eiji Sakai, Hideyuki Chiba, Zhen Ding   +22 more
wiley   +1 more source

Unsupervised Monocular Depth Estimation Method Based on Uncertainty Analysis and Retinex Algorithm

Sensors, 2020
Depth estimation of a single image presents a classic problem for computer vision, and is important for the 3D reconstruction of scenes, augmented reality, and object detection.
Chuanxue Song, Chunyang Qi, Shixin Song, Feng Xiao   +3 more
doaj   +1 more source

The effect of pictorial depth information on projected size judgements [PDF]

, 2009
When full depth cues are available, size judgements are dominated by physical size. However, with reduced depth cues, size judgements are less influenced by physical size and more influenced by projected size.
Farran, Emily, Patel, Neha, Whitaker, Andrew   +2 more
core   +1 more source

Open Vocabulary Monocular 3D Object Detection

We propose and study open-vocabulary monocular 3D detection, a novel task that aims to detect objects of any categores in metric 3D space from a single RGB image. Existing 3D object detectors either rely on costly sensors such as LiDAR or multi-view setups, or remain confined to closed vocabularies settings with limited categories, restricting their ...
Yao, Jin, Gu, Hao, Chen, Xuweiyi, Wang, Jiayun, Cheng, Zezhou   +4 more
openaire   +2 more sources

Towards Model Generalization for Monocular 3D Object Detection

, 2022
Monocular 3D object detection (Mono3D) has achieved tremendous improvements with emerging large-scale autonomous driving datasets and the rapid development of deep learning techniques. However, caused by severe domain gaps (e.g., the field of view (FOV), pixel size, and object size among datasets), Mono3D detectors have difficulty in generalization ...
Li, Zhenyu, Chen, Zehui, Li, Ang, Fang, Liangji, Jiang, Qinhong, Liu, Xianming, Jiang, Junjun   +6 more
openaire   +2 more sources

Midline Head Tap to Image the Human Vestibular Cortex on fMRI

Journal of the Royal Society of New Zealand, Volume 56, Issue 2, April 2026.
A simple head tap can stimulate inner ear otolith organ activation. In this pilot proof‐of‐concept study, midline forehead taps were delivered in the magnetic resonance imaging (MRI) scanner to elicit an observable response in the areas most suspected of representing a vestibular cortex.
Jeremy Hornibrook, Edward Flook, Melissa Babbage, Gurjoat Vraich, Philip Bird, Tracy R. Melzer   +5 more
wiley   +1 more source

Perspective-aware Convolution for Monocular 3D Object Detection

, 2023
Monocular 3D object detection is a crucial and challenging task for autonomous driving vehicle, while it uses only a single camera image to infer 3D objects in the scene. To address the difficulty of predicting depth using only pictorial clue, we propose a novel perspective-aware convolutional layer that captures long-range dependencies in images.
Yu, Jia-Quan, Pei, Soo-Chang
openaire   +2 more sources

Multi‐Task Learning for Airport Surface Surveillance: A Review

Expert Systems, Volume 43, Issue 4, April 2026.
ABSTRACT The rapid growth of air transportation has surpassed the capabilities of traditional airport surveillance methods, such as visual observation and auxiliary equipment (e.g., ADS‐B, MLAT, radar), which struggle to provide all‐area, all‐weather situation awareness.
Daoyong Fu, Xiangtong Wang, Fangrui Wu, Songchen Han, Binbin Liang, Wei Li, Ke Yang   +6 more
wiley   +1 more source

Monocular Navigation in Large Scale Dynamic Environments

, 2017
We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large ...
Burschka, Darius
core  

Gaze‐Engineered 3D Augmented Reality

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Augmented Reality (AR) systems serve as a critical interface bridging users with the metaverse. This study explores the application of human factors engineering in metaverse development, specifically investigating the integration of eye‐tracking technology to enhance AR display performance.
Naiqin Zhao, Jiasheng Xiao, Runze Zhu, Hao Zhang   +3 more
wiley   +1 more source