Results 141 to 150 of about 14,435,990 (306)
Enhanced 3D RANDSAC RGB-D mapping algorithm for multiview point cloud registration
碩士本論文提出了一個增強型的多視角點雲合併方法,可應用於建立三維物體點雲模型及三維環境點雲地圖。本論文所提出方法的貢獻分為兩部份:第一部份為濾除點雲資料周圍之誤差對應點,加強點雲對應點準確率;第二部份為提出改良型目標函數,加強點雲合併的完整性。在第一部份中,由於Kinect攝影機在擷取點雲時,影像邊界附近的點雲資料都會出現誤差,為了不讓此誤差點雲影響點雲合併的結果,本論文提出一種方法濾除在此誤差演雲上的對應點來加強合併的結果。在第二部份中 ...
王傳崴; Wang, Chuan-Wei
core
Distributed Micropneumatic Sensors for Soft Robots to Detect Touch and Pose
Soft robots need integrated touch and pose sensing for safe and reliable operation. This work presents a three‐fingered soft gripper with 18 micropneumatic sensors made from the same materials as its pneumatic actuators. By measuring airflow resistance changes in deforming microchannels of the sensors, finger pose and contact are detected, enabling ...
Vilma Lampinen +3 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
RGB-D Scene Understanding Based on Context
在结合实际课题研究的基础上,本文深入研究了RGB-D室内场景中的物体检测与点云标注问题。本文工作的主要内容及贡献可以概括为如下几个方面: 1.首先从跨模态特征学习这一角度出发,提出了一套基于双模深度玻尔兹曼机的RGB-D场景物体检测算法,实现了RGB和Depth两个不同模态的跨模态特征学习。为实现RGB和Depth两个不同模态的跨模态学习,我们采用了双模深度玻尔兹曼机得到两个不同模态的融合特征。为实现RGB-D场景中的物体鲁棒性检测,采用3D滑动检测的方法在3D点云中检测物体。本章算法的输入为单帧RGB-
刘伟
core
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu +10 more
wiley +1 more source
Polymorphic Superparaelectric Engineering Boosting Energy Storage Capacity in BaTiO3‐Based Ceramics
Herein, Ca2+ incorporation promotes the coexistence of CaTiO3‐/BaTiO3‐derived paraferroelectric states, stabilizing cubic‐orthorhombic‐tetragonal polymorphic superparaelectric phases. This minimizes polarization energy barriers, facilitating full polarization saturation without compromising efficiency.
Pan Liu +9 more
wiley +1 more source
Efficient generation of 3D surfel maps using RGB–D sensors
The article focuses on the problem of building dense 3D occupancy maps using commercial RGB-D sensors and the SLAM approach. In particular, it addresses the problem of 3D map representations, which must be able both to store millions of points and to ...
Wilkowski Artur +3 more
doaj +1 more source
Face Recognition Using RGB-D Images
This presentations was made about a paper that uses RGB-D images for face ...
Helder Oliveira (576027)
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Motion estimation in RGB and RGB-D image sequences [PDF]
El movimiento es una característica fundamental para el procesamientode video y sus posteriores aplicaciones. La estimación de movimientoen video es de gran utilidad para definir la correspondencia depuntos en una escena, calcular sus velocidades y así ...
Gómez Fernández, Francisco Roberto
core +1 more source

