Acquisition of RGB-D images: sensors
Pomiary Automatyka Robotyka, 2014 Tomasz Kornuta, Maciej Stefanczyk
openaire +1 more source
Hand gesture recognition using RGB-D cues
, 2012 In this paper, we propose a hand gesture recognition method in the clutter background by fusing the RGB-D cues. Since the hand localization is the key issue, we propose a coarse-to-fine procedure to detect hand accurately, which combines the statistic ...
Lin L(蔺蘭) +2 more
core +1 more source
Pseudo‐Haptic Feedback: Multi‐Modal Approaches to Stiffness Perception and User Experience
Advanced Science, EarlyView.Can visual deformation substitute for physical haptic feedback? In immersive VR, deformation‐based pseudo‐haptics enables stiffness discrimination comparable to wearable force feedback, while their combination yields the highest performance and presence without increasing workload.
Mehmet Ege Cansev +4 more
wiley +1 more source
Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution
Advanced Science, EarlyView.A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang +6 more
wiley +1 more source
Unsupervised RGB-D image segmentation using joint clustering and region merging
, 2014 International audienceRecent advances in imaging sensors, such as Kinect, provide access to the synchronized depth with color, called RGB-D image. In this paper, we propose an unsupervised method for indoor RGB-D image segmentation and analysis.
Trémeau, Alain +2 more
core +1 more source
A Deep Learning-Based Framework for Offline Robotic Weld Path Generation Using a Single Top-View RGB-D Image. [PDF]
Sensors (Basel)Lee D, Ko B, Park T, Yoon JW, Park H.
europepmc +1 more source
RGB-D-based action recognition datasets: a survey
, 2016 Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010. Over this period, many benchmark datasets have been created to facilitate the development and evaluation of ...
Chang Tang (2862872) +4 more
core
Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding
Advanced Science, EarlyView.Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen +11 more
wiley +1 more source
Multimodal learning on RGB-D image for precise litchi phenotyping and weight estimation. [PDF]
Plant MethodsYang M +5 more
europepmc +1 more source
Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications
Advanced Science, EarlyView.Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin +6 more
wiley +1 more source