Results 61 to 70 of about 744 (143)

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Deciphering pixel insights: A deep dive into deep learning strategies for enhanced indoor depth estimation

International Journal of Information Management Data Insights
Depth estimation is one of the crucial tasks for autonomous systems, which provides important information about the distance between the system and its surroundings.
Krisna Pinasthika, Fitri Utaminingrum, Chih‑Yang Lin, Chikamune Wada, Timothy K. Shih   +4 more
doaj   +1 more source

Towards Explainability in Monocular Depth Estimation

VDC_RelSize The Visual Depth Cue Dataset (VDC) is a synthetic image dataset which focuses on monocular depth estimation tasks. VDC is inspired by the research of Cutting & Vishton about the human depth perception system. Relative Size Τhe real world is perceived with perspective, which causes objects that are closer to the observer to appear larger ...
Arampatzakis, Vasileios, Pavlidis, George, Pantoglou, Kyriakos, Mitianoudis, Nikolaos, Papamarkos, Nikos   +4 more
openaire   +4 more sources

Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior [PDF]

2019 IEEE International Conference on Image Processing (ICIP), 2019
Monocular depth estimation using novel learning-based approaches has recently emerged as a promising potential alternative to more conventional 3D scene capture technologies within real-world scenarios. Many such solutions often depend on large quantities of ground truth depth data, which is rare and often intractable to obtain.
Amir Atapour Abarghouei, Toby P. Breckon
openaire   +3 more sources

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Bronchoscope Tip Localization With Learned Airway Constraints and an Open Source Simulator

Advanced Intelligent Systems, EarlyView.
BronchoLoc addresses feature‐poor bronchoscopic imaging by combining monocular video with a preoperative CT graph to estimate 3D camera location. A local tracker identifies candidate branches, while a sequence‐aware global module refines the trajectory. Demonstrating sub‐centimeter accuracy across synthetic and phantom datasets, this framework advances
Emanuele Nicotra, James Davies, Bibhu Sharma, Adrienne Ji, Kefan Zhu, Phuoc Thien Phan, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Guiding Monocular Depth Estimation Using Depth-Attention Volume [PDF]

, 2020
Recovering the scene depth from a single image is an ill-posed problem that requires additional priors, often referred to as monocular depth cues, to disambiguate different 3D interpretations. In recent works, those priors have been learned in an end-to-end manner from large datasets by using deep neural networks.
Lam Huynh, Phong Nguyen-Ha 0001, Jiri Matas, Esa Rahtu, Janne Heikkilä   +4 more
openaire   +5 more sources

3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback

Advanced Intelligent Systems, EarlyView.
A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu, Sangwon Lee, Min Jun Kim   +2 more
wiley   +1 more source

Geo-Temporal Selective Approach for Dynamic Depth Estimation in Outdoor Object Detection and Distance Measurement

IEEE Access
Accurate depth information is crucial for various computer vision applications such as augmented reality, 3D modeling, and autonomous vehicles. Recent advancements have significantly improved both supervised and self-supervised methods for depth ...
Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, Atif Rizwan, Rashid Ahmad, Do Hyeun Kim   +5 more
doaj   +1 more source

Monocular 3D Object Detection Based on Height-Depth Constraint and Edge Fusion [PDF]

Jisuanji kexue
Monocular 3D object detection aims to complete 3D object detection using monocular images,and most existing monocular 3D object detection algorithms are based on classical 2D object detection algorithms.To address the issue of inaccurate instance depth ...
PU Bin, LIANG Zhengyou, SUN Yu
doaj   +1 more source