kaida xiao

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Associate Professor

University of Leeds

United Kingdom

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About

Kaida Xiao is an Associate Professor at the University of Leeds in the United Kingdom. His research primarily focuses on multispectral reconstruction, color correction in imaging, and the development of algorithms for camera auto white balance. He has published recent articles exploring topics such as skin color analysis, deep learning applications in imaging, and advancements in color space methodologies.

Recent Grants

Grant: Close

Facial colour measurement for British women

Open Date: 2017-10-01

Close Date: 2018-04-01

Grant: Close

Development of skin spectral colour chart

Open Date: 2017-06-01

Close Date: 2017-11-01

Grant: Close

Measuring and Reproducing the 3D Appearance of Human Facial Skin under varying Illumination Conditions

Open Date: 2013-10-01

Close Date: 2016-09-01

Grant: Close

Unilever Tooth shade card development

Open Date: 2013-06-01

Close Date: 2014-10-01

Grant: Close

Wellcome Trust Discipline Hopping Fellowship

Open Date: 2012-07-01

Close Date: 2013-06-01

Articles (19)

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2022

Collaborators (4)

Manuel Melgosa Latorre

Universidad de Granada

SPAIN

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Michael Pointer

UNITED KINGDOM

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Changjun Li

Loughborough University Loughborough Design School

UNITED KINGDOM

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Yan Lu

The University of Manchester

UNITED KINGDOM

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kaida xiao

Research Interests

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About

Recent Grants

Articles (19)

Multispectral Reconstruction in Open Environments Based on Image Color Correction

A New Method for Camera Auto White Balance for Portrait

Auto‐White Balance Algorithm of Skin Color Based on Asymmetric Generative Adversarial Network

The International Skin Spectra Archive (ISSA): a multicultural human skin phenotype and colour spectra collection

The development of the CIECAM16 and visualization of its domain and range

Deep Learning-Based Exposure Asymmetry Multispectral Reconstruction from Digital RGB Images

Predicting Facial Attractiveness from Colour Cues: A New Analytic Framework

Domain and range of the CIECAM16 forward transformation

Improvements to the CIELUV color space

A comprehensive test of colour‐difference formulae and uniform colour spaces using available visual datasets

A study of preferred and natural memory colours across different ethnic groups

Spectra Reconstruction for Human Facial Color from RGB Images via Clusters in 3D Uniform CIELab* and Its Subordinate Color Space

Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network

Research on the interactive perception of color paper-cutting culture rendering based on AR

Optimizing Color-Difference Formulas for 3D-Printed Objects

Optimizing Parametric Factors in CIELAB and CIEDE2000 Color-Difference Formulas for 3D-Printed Spherical Objects

Development of an image-based measurement system for human facial skin colour

Interim connection space based on colorimetric values for spectral image compression and reproduction

Influences of shape, size, and gloss on the perceived color difference of 3D printed objects

Collaborators (4)

Manuel Melgosa Latorre

Michael Pointer

Changjun Li

Yan Lu

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