Results 91 to 100 of about 25,036,571 (294)
Extracting Sharp Features from RGB‐D Images
Computer Graphics Forum, 2016 AbstractSharp edges are important shape features and their extraction has been extensively studied both on point clouds and surfaces. We consider the problem of extracting sharp edges from a sparse set of colour‐and‐depth (RGB‐D) images. The noise‐ridden depth measurements are challenging for existing feature extraction methods that work solely in the ...
Yan-Pei Cao +3 more
openaire +3 more sources
, 2021 (a) RGB image (b) new NDSI image differentiating oak and silver birch trees (c) Image (14 October 2020) derived from new NDSI thresholding to segment oak and silver birch trees (d) Image (from 17 September 2020) derived from new NDSI thresholding to ...
Shara Ahmed (11708088) +4 more
core +1 more source
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
RGB-D Object Recognition Using Multi-Modal Deep Neural Network and DS Evidence Theory
Sensors, 2019 With the development of low-cost RGB-D (Red Green Blue-Depth) sensors, RGB-D object recognition has attracted more and more researchers’ attention in recent years.
Hui Zeng +4 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Data in Brief, 2019 This article contains data related to the research article entitle “Multi-modal Deep Learning for Fruit Detection Using RGB-D Cameras and their Radiometric Capabilities” [1].
Jordi Gené-Mola +5 more
doaj +1 more source
Cascading attention enhancement network for RGB-D indoor scene segmentation
Convolutional neural network based Red, Green, Blue, and Depth (RGB-D) image semantic segmentation for indoor scenes has attracted increasing attention, because of its great potentiality of extracting semantic information from RGB-D images.
Tang, X +8 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Cross-Modal Adaptive Interaction Network for RGB-D Saliency Detection
Applied SciencesThe salient object detection (SOD) task aims to automatically detect the most prominent areas observed by the human eye in an image. Since RGB images and depth images contain different information, how to effectively integrate cross-modal features in the
Qinsheng Du +4 more
doaj +1 more source
Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation
Advanced Robotics Research, EarlyView.A magnetic tip mount is designed for a miniaturized 7 mm soft‐growing vine robot to enable wireless magnetic steering and onboard imaging, while preserving a 3 mm working channel. The internal–external ring magnets design balances magnetic attachment with low eversion pressure. Experiments demonstrate ±90° steering, 34 mm bending radius, and successful
Andrea Yanez Trujillo +4 more
wiley +1 more source