Your landing page is about selling a product — not about getting

6 min readDec 2, 2020

Additionally, you can check out the follow-up article if you want to extend your capabilities using the library Open3D, and learn specific commands related to 3D point clouds and 3D mesh processing.Other advanced sampling methods for point cloud exist. For example, you could follow a uniform sampling method such as the Farthest Point method, a more advanced geometric sampling [1] or even semantic sampling. Also, the voxelisation algorithm given here can be used for advanced processing such as 3D semantic modelling [2] or semantic segmentation, as shown in [3].In the very likely event your point cloud is too heavy for visualizing this way, you can export the data in an eatable file format for your software of choice. To get an ASCII file, you can use the command:

5-Step Guide to generate 3D meshes from point clouds with Python
Tutorial to generate 3D meshes (.obj, .ply, .stl, .gltf) automatically from 3D point clouds using python. (Bonus)…towardsdatascience.comAlthough I have nothing against trends itself, the worst thing that a designer or a product owner can do, is to copy every visual idea that everyone in the design world is currently obsessed with.We create a loop that will iterate over each non-empty voxel, while allowing to work with both the index idx of the array, and the value vox, which is actually the [i, j, k] of the voxel.

The Future of 3D Point Clouds: a new perspective
Discrete spatial datasets known as point clouds often lay the groundwork for decision-making applications. But can they…towardsdatascience.com

Knowing that, we should design landing pages with a very strict list of goals in mind. It’s not a beauty or creativity competition. The page should be distinctive, yet not overwhelming. The message should be straight and to the point. The overall visual style should match the product’s characteristics. It should also be appealing to the target group. The shopping experience itself should be as quick, as easy and delightful as possible.

My contributions aim to condense actionable information so you can start from scratch to build 3D automation systems for your projects. You can get started today by taking a formation at the Geodata Academy.

3. Poux, F.; Billen, R. Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods. ISPRS Int. J. Geo-Inf. 2019, 8, 213. https://doi.org/10.3390/ijgi8050213

Landing page is a popular, yet quite specific kind of website. It often makes me wonder, why it is so hard these days, to find a landing page that is done well? It would seem that we, as product designers, owners and users, are design-aware enough (compared to 10 years ago) — yet there’s one simple thing that everyone seems to forget:

1. Fernández-Martínez J.L., Tompkins M., Mukerji T., Alumbaugh D. (2010) Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces. Advances in Intelligent and Soft Computing. 2010, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_31

You just learned how to import, sub-sample, export and visualize a point cloud composed of millions of points, with different strategies! Well done! But the path does not end here, and future posts will dive deeper in point cloud spatial analysis, file formats, data structures, visualization, animation and meshing. We will especially look into how to manage big point cloud data as defined in the article below.

2. Poux, F.; Neuville, R.; Nys, G.-A.; Billen, R. 3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture. Remote Sens. 2018, 10, 1412. https://doi.org/10.3390/rs10091412

This voxel sampling strategy is usually very efficient, relatively uniform, and useful for downward processes (but this extend the scope of the current tutorial). However, you should know that while the point spacing can be controlled by the size of the grid, we cannot “accurately” control the number of sampling points.

3. Finally, we compute the representant of the voxel. I will illustrate this for both the barycenter (grid_barycenter) and the closest point to the barycenter (grid_candidate_center).

To simply visualize in-line your results (or within Python), you can use the matplotlib library, with its 3D toolkit (see the previous article for understanding what happens under the hood). Run the following command, illustrated over the decimated point cloud :

Your landing page is about selling a product — not about getting

Written by jibanmal