Results 1 to 10 of about 24,061,183 (328)

Skewed distribution of leaf color RGB model and application of skewed parameters in leaf color description model. [PDF]

open access: yesPlant Methods, 2020
Image processing techniques have been widely used in the analysis of leaf characteristics. Earlier techniques for processing digital RGB color images of plant leaves had several drawbacks, such as inadequate de-noising, and adopting normal-probability ...
Chen Z   +6 more
europepmc   +2 more sources

Fitting Analysis of RGB Model of the Turquoise [PDF]

open access: yesAdvances in Transdisciplinary Engineering, 2022
In order to overcome the disadvantages of poor repeatability and strong subjectivity brought by traditional artificial experience classification and realize the quantitative intelligent classification of turquoise, RGB model needs to be fitted. By fitting the RGB model of turquoise classification with linear function and polynomial function, it is ...
Huang, Boling   +8 more
openaire   +2 more sources

Deep Model-Based 6D Pose Refinement in RGB [PDF]

open access: yesEuropean Conference on Computer Vision, 2018
We present a novel approach for model-based 6D pose refinement in color data. Building on the established idea of contour-based pose tracking, we teach a deep neural network to predict a translational and rotational update. At the core, we propose a new visual loss that drives the pose update by aligning object contours, thus avoiding the definition of
Manhardt, Fabian   +3 more
openaire   +3 more sources

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans [PDF]

open access: yes2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
We present Scan2CAD, a novel data-driven method that learns to align clean 3D CAD models from a shape database to the noisy and incomplete geometry of a commodity RGB-D scan. For a 3D reconstruction of an indoor scene, our method takes as input a set of CAD models, and predicts a 9DoF pose that aligns each model to the underlying scan geometry.
Avetisyan, Armen   +5 more
openaire   +4 more sources

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images [PDF]

open access: yesEuropean Conference on Computer Vision, 2018
We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image. Limited by the nature of deep neural network, previous methods usually represent a 3D shape in volume or point cloud, and it is non-trivial to convert them to the more ready-to-use mesh model.
Wang, Nanyang   +5 more
openaire   +3 more sources

Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images [PDF]

open access: yesEuropean Conference on Computer Vision, 2022
In this paper, we present a generalizable model-free 6-DoF object pose estimator called Gen6D. Existing generalizable pose estimators either need high-quality object models or require additional depth maps or object masks in test time, which ...
Yuan Liu   +6 more
semanticscholar   +1 more source

RGB Three-Channel SWE-Based Ultrasomics Model: Improving the Efficiency in Differentiating Focal Liver Lesions

open access: yesFrontiers in Oncology, 2021
ObjectiveTo explore a new method for color image analysis of ultrasomics and investigate the efficiency in differentiating focal liver lesions (FLLs) by Red, Green, and Blue (RGB) three-channel SWE-based ultrasomics model.MethodsOne hundred thirty FLLs ...
Mei-Qing Cheng   +15 more
doaj   +1 more source

Accurate Wheat Lodging Extraction from Multi-Channel UAV Images Using a Lightweight Network Model

open access: yesSensors, 2021
The extraction of wheat lodging is of great significance to post-disaster agricultural production management, disaster assessment and insurance subsidies.
Baohua Yang, Yue Zhu, Shuaijun Zhou
doaj   +1 more source

Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition

open access: yesIEEE Access, 2022
Sign language recognition using computational models is a challenging problem that requires simultaneous spatio-temporal modeling of the multiple sources, i.e. faces, hands, body, etc. In this paper, we propose an isolated sign language recognition model
Ozge Mercanoglu Sincan   +1 more
doaj   +1 more source

Object Recognition Algorithm Based on RGB Feature and Depth Feature Fusing [PDF]

open access: yesJisuanji gongcheng, 2016
Combining RGB image and depth image can effectively improve the RGB-D image recognition accuracy.However,prior researchers only do simple linear connect with the RGB image and depth features and do not extract and fuse the RGB and depth features ...
LU Liangfeng,XIE Zhijun,YE Hongwu
doaj   +1 more source

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