Results 71 to 80 of about 24,061,183 (328)
This study delves into the application of the U-Net convolutional neural network (CNN) model for beach wrack (BW) segmentation and monitoring in coastal environments using multispectral imagery.
Edvinas Tiškus +4 more
doaj +1 more source
Adaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes
The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...
Natascha Gray +3 more
wiley +1 more source
A Robust Calibration Method for Consumer Grade RGB-D Sensors for Precise Indoor Reconstruction
RGB-D cameras, which can be attached to any mobile device and work under different operation platforms (e.g., iOS, Android, and Windows), have great potential for indoor 3D modeling and navigation due to their low cost and small size.
Walid Darwish +4 more
doaj +1 more source
3D indoor scene modeling from RGB-D data: A survey [PDF]
3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras, there is a growing interest in digitizing real-world indoor 3D scenes. However, modeling indoor 3D scenes remains a challenging problem because of the complex structure of interior objects and poor quality
Chen, Kang, Lai, Yu-Kun, Hu, Shi-Min
openaire +2 more sources
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos [PDF]
We present a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam.
Justus Thies +4 more
semanticscholar +1 more source
Capturing Hands in Action using Discriminative Salient Points and Physics Simulation
Hand motion capture is a popular research field, recently gaining more attention due to the ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a single isolated hand.
Aponte, Pablo +5 more
core +1 more source
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source
Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs
Scene recognition with RGB images has been extensively studied and has reached very remarkable recognition levels, thanks to convolutional neural networks (CNN) and large scene datasets.
Herranz, Luis +2 more
core +1 more source
The incorporation of nondigested ECM and synthetic polymers into a co‐electrospinning system enables the decoupling of bioactivity and mechanical properties within a single wrap. This technique is used to develop a multifunctional bone wrap that achieves augmented membrane durability, sustained infection control, and enhanced vascularity for use in ...
Sarah Jones +14 more
wiley +1 more source
Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting and diverse topic.
Rubén González-Crespo +3 more
doaj +1 more source

