Results 91 to 100 of about 1,365,020 (307)
A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise +6 more
wiley +1 more source
Research on GPU Real-time Stitching of Multi-channel High-definition YUV Video [PDF]
To improve the real-time performance of high-definition video stitching,a stitching method of GPU-based real-time multi-channel high-definition YUV video is proposed.Firstly,the perspective model of YUV422 image stitching is deduced,and then parallel ...
WANG Zhen,XU Xiaohang,WANG Jing,LI Sheng,ZHENG Hong
doaj +1 more source
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
Human activity understanding with 3D/depth sensors has received increasing attention in multimedia processing and interactions. This work targets on developing a novel deep model for automatic activity recognition from RGB-D videos.
Lin, Liang +4 more
core +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
The Video Project Enabling RGB video processing and compression on-board satellites
Session 1A-Barrios-The Video Project Enabling RGB video processing and compression on-board ...
Barrios, Yubal +4 more
openaire +3 more sources
Animatable Neural Radiance Fields from Monocular RGB Videos
12 pages, 12 ...
Chen, Jianchuan +6 more
openaire +2 more sources
Learning human activities and object affordances from RGB-D videos [PDF]
Understanding human activities and object affordances are two very important skills, especially for personal robots which operate in human environments. In this work, we consider the problem of extracting a descriptive labeling of the sequence of sub-activities being performed by a human, and more importantly, of their interactions with the objects in
Koppula, Hema Swetha +2 more
openaire +2 more sources
A Degradable Bioinspired Flier with Aerogel‐Based Colorimetric Sensors for Environmental Monitoring
Biodegradable fliers are developed inspired by Tipuana tipu samaras, integrating cellulose nanocrystal aerogel (CNCa) sensors loaded with natural dyes for pH and ammonia detection. The lightweight, degradable fliers mimic natural morphology and aerodynamics, offering an eco‐friendly, scalable solution for in situ environmental monitoring after passive ...
Gianpaolo Gallo +4 more
wiley +1 more source
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or semantic properties of the scene independently. In this work, we introduce
Fox, Dieter, Xiang, Yu
core +1 more source
Spectral video construction from RGB video: Application to Image Guided Neurosurgery
Spectral imaging has received enormous interest in the field of medical imaging modalities. It provides a powerful tool for the analysis of different organs and non-invasive tissues. Therefore, significant amount of research has been conducted to explore the possibility of using spectral imaging in biomedical applications.
Hasnat, Md. Abul +2 more
openaire +2 more sources

