Dyed fabric illumination estimation with regularized random vector function link network

2020 ◽  
Author(s):  
Zhiyu Zhou ◽  
Dexin Liu ◽  
Jiushen Guo ◽  
Jianxin Zhang ◽  
Zefei Zhu ◽  
...  
Keyword(s):  
Vector Function ◽  
Random Vector ◽  
Illumination Estimation ◽  
Dyed Fabric

scholarly journals Bipedal walking pattern generation and control for humanoid robot with bivariate stability margin optimization

2018 ◽  
Vol 10 (9) ◽  
pp. 168781401880088
Author(s):  
Liang Yang ◽  
Zhi Liu ◽  
Yong Chen
Keyword(s):  
Neural Networks ◽  
Vector Function ◽  
Random Vector ◽  
Humanoid Robot ◽  
Stability Margin ◽  
Pattern Generation ◽  
Bipedal Walking ◽  
Walking Pattern ◽  
Control Scheme ◽  
Walking Pattern Generation

This article concentrates on the problem of walking pattern generation and online control for humanoid robot. However, it is challenging and thus still remains open so far in the field of bipedal locomotion control. In this article, we solve this problem by proposing a bivariate-stability-margin-based control scheme, in which a random vector function-link neural networks mechanism is additionally contained. By utilizing opposition-based learning algorithm to generate walking patterns and designing random vector function-link neural networks for compensating the combination of zero-moment point error and modeling error, the new walking controller exhibits good performance. Moreover, a bivariate-stability-margin-based fuzzy logic system is proposed to assign a weight to each training sample according to locomotion stability. With these results, a walking control system is successfully established and experiments validate the proposed control scheme.

A method of approximating a random vector function

Cybernetics ◽  
1968 ◽  
Vol 2 (5) ◽  
pp. 58-59
Author(s):  
Ts. S. Khatiashvili
Keyword(s):  
Vector Function ◽  
Random Vector

Extended Corrected-Moments Illumination Estimation

2016 ◽  
Vol 2016 (20) ◽  
pp. 1-8 ◽  
Author(s):  
Xiaochuan Chen ◽  
MarkS. Drew ◽  
Ze-Nian Li ◽  
GrahamD. Finlayson
Keyword(s):  
Illumination Estimation

Non-Linear Masking based Contrast Enhancement via Illumination Estimation

2018 ◽  
Vol 2018 (13) ◽  
pp. 389-1-389-5
Author(s):  
Soonyoung Hong ◽  
Minsub Kim ◽  
Moon Gi Kang
Keyword(s):  
Contrast Enhancement ◽  
Illumination Estimation ◽  
Non Linear

A Flying Gray Ball Multi-illuminant Image Dataset for Color Research

2020 ◽  
Vol 64 (5) ◽  
pp. 50411-1-50411-8
Author(s):  
Hoda Aghaei ◽  
Brian Funt
Keyword(s):  
Machine Vision ◽  
Spectral Reflectance ◽  
Color Constancy ◽  
Ground Truth ◽  
Practical Approach ◽  
Post Processing ◽  
Illumination Estimation ◽  
Processing Step ◽  
Image Dataset

Abstract For research in the field of illumination estimation and color constancy, there is a need for ground-truth measurement of the illumination color at many locations within multi-illuminant scenes. A practical approach to obtaining such ground-truth illumination data is presented here. The proposed method involves using a drone to carry a gray ball of known percent surface spectral reflectance throughout a scene while photographing it frequently during the flight using a calibrated camera. The captured images are then post-processed. In the post-processing step, machine vision techniques are used to detect the gray ball within each frame. The camera RGB of light reflected from the gray ball provides a measure of the illumination color at that location. In total, the dataset contains 30 scenes with 100 illumination measurements on average per scene. The dataset is available for download free of charge.

DSNet: Deep Shadow Network for Illumination Estimation

2021 ◽  
Author(s):  
Yuan Xiong ◽  
Hongrui Chen ◽  
Jingru Wang ◽  
Zhe Zhu ◽  
Zhong Zhou
Keyword(s):  
Illumination Estimation

FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease

2021 ◽  
Vol 106 ◽  
pp. 107371
Author(s):  
Rahul Sharma ◽  
Tripti Goel ◽  
M. Tanveer ◽  
Shubham Dwivedi ◽  
R. Murugan
Keyword(s):  
Alzheimer Disease ◽  
Early Diagnosis ◽  
Random Vector ◽  
Activation Function
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