Results 81 to 90 of about 14,435,990 (306)

RGB-D SLAM with Manhattan Frame Estimation Using Orientation Relevance

open access: yesSensors, 2019
Due to image noise, image blur, and inconsistency between depth data and color image, the accuracy and robustness of the pairwise spatial transformation computed by matching extracted features of detected key points in existing sparse Red Green Blue ...
Liang Wang, Zhiqiu Wu
doaj   +1 more source

Temporally Consistent Motion Segmentation from RGB-D Video [PDF]

open access: yes, 2016
We present a method for temporally consistent motion segmentation from RGB-D videos assuming a piecewise rigid motion model. We formulate global energies over entire RGB-D sequences in terms of the segmentation of each frame into a number of objects ...
Zwicker, Matthias   +1 more
core   +1 more source

3D Reconstruction from RGB-D Data

open access: yes, 2019
A key task in computer vision is that of generating virtual 3D models of real-world scenes by reconstructing the shape, appearance and, in the case of dynamic scenes, motion of the scene from visual sensors. Recently, low-cost video plus depth (RGB-D)
Guillemaut, Jean-Yves   +5 more
core   +1 more source

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

open access: yesAdvanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao   +7 more
wiley   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj   +23 more
wiley   +1 more source

Robust 3D Reconstruction With an RGB-D Camera [PDF]

open access: yesIEEE Transactions on Image Processing, 2014
We present a novel 3D reconstruction approach using a low-cost RGB-D camera such as Microsoft Kinect. Compared with previous methods, our scanning system can work well in challenging cases where there are large repeated textures and significant depth missing problems.
Kangkan Wang   +2 more
openaire   +2 more sources

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi   +11 more
wiley   +1 more source

RGB-D egocentric segmentation of human bodies for XR applications

open access: yesFrontiers in Virtual Reality
IntroductionVideo-based self-avatars represent a promising approach for displaying users’ bodies in XR environments. While previous methods have relied on color cues, depth data, or RGB-based deep learning models, these approaches often su”er from false ...
Sofia Pedros-Tobaruela   +3 more
doaj   +1 more source

Three-Dimensional Point Cloud Reconstruction and Morphology Measurement Method for Greenhouse Plants Based on the Kinect Sensor Self-Calibration

open access: yesAgronomy, 2019
Plant morphological data are an important basis for precision agriculture and plant phenomics. The three-dimensional (3D) geometric shape of plants is complex, and the 3D morphology of a plant changes relatively significantly during the full growth cycle.
Guoxiang Sun, Xiaochan Wang
doaj   +1 more source

Learning effective RGB-D representations for scene recognition [PDF]

open access: yes, 2019
Deep convolutional networks can achieve impressive results on RGB scene recognition thanks to large data sets such as places. In contrast, RGB-D scene recognition is still underdeveloped in comparison, due to two limitations of RGB-D data we address in ...
Chen, Chengpeng   +3 more
core   +1 more source

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