Local affine uniformation of a color space.
![Local affine uniformation of a color space.](https://www.researchgate.net/publication/297354285/figure/fig3/AS:669971248070674@1536745001972/Local-affine-uniformation-of-a-color-space.png)
![](https://www.frontiersin.org/files/Articles/1124230/fcomp-05-1124230-HTML-r1/image_m/fcomp-05-1124230-g001.jpg)
Frontiers The coherent organization of dynamic visual images
Images of geodesic coordinates
![](https://ars.els-cdn.com/content/image/1-s2.0-S1077314223000917-gr1.jpg)
Single and multiple illuminant estimation using convex functions - ScienceDirect
![](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs43588-022-00380-4/MediaObjects/43588_2022_380_Fig1_HTML.png)
Dynamic visualization of high-dimensional data
![](https://www.researchgate.net/publication/262452357/figure/fig3/AS:667835168731137@1536235720309/Color-online-Time-dependent-local-coordinate-system-r-s-used-for-the-derivation-of.png)
Color online) Time-dependent local coordinate system (ρ, s) used for
![](https://www.researchgate.net/profile/Jinhui-Chao/publication/297354285/figure/fig3/AS:669971248070674@1536745001972/Local-affine-uniformation-of-a-color-space.png)
Local affine uniformation of a color space.
![](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-023-43958-w/MediaObjects/41467_2023_43958_Fig1_HTML.png)
Revealing hidden patterns in deep neural network feature space continuum via manifold learning
![](https://pub.mdpi-res.com/jimaging/jimaging-08-00247/article_deploy/html/images/jimaging-08-00247-g001.png?1663315201)
J. Imaging, Free Full-Text
![](https://ars.els-cdn.com/content/image/1-s2.0-S0097849316300887-fx1.jpg)
Estimating affine-invariant structures on triangle meshes - ScienceDirect
![](https://pubsonline.informs.org/cms/10.1287/moor.2023.1365/asset/images/medium/moor.2023.1365f1.gif)
Uniform Mixed Equilibria in Network Congestion Games with Link Failures
![](https://dfzljdn9uc3pi.cloudfront.net/2022/cs-890/1/fig-2-full.png)
GaborNet: investigating the importance of color space, scale and orientation for image classification [PeerJ]