Abstract: We give an analytical and geometrical treatment of what it means to separate a Gaussian kernel along arbitrary axes in Ropf n, and we present a separation scheme that allows us to ...

Abstract: Counting objects in remote sensing is crucial for analyzing their distribution in images. Compared to surveillance perspectives, counting dense objects in remote sensing images is more ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

In the actual brain’s visual cortex, neurons are connected broadly and smoothly around a central point, with connection strength varying gradually with distance (a, b). This spatial connectivity ...

With Gaussian smoothing, you should set sigma = "Smoothing Value", rather than what it attempts now, which is Math.round (weight / 100 * 5). EDIT: actually, since your points can be spaced unevenly, ...

Computational Brain Science Lab, Division of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm, Sweden This paper presents an analysis of properties of two hybrid ...

Posts from this topic will be added to your daily email digest and your homepage feed. Gaussian splatting, a new way of capturing 3D content, is taking the AR / VR industry by storm — and could one ...

You might have heard the term “splat” or “Gaussian splat” used recently in the XR space. Gaussian splatting is a rendering technique that has been around for a long time but has found a new ...