Category: point-cloud
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Project: Point Cloud Processing with Open3D
We are working with point clouds (again). Point clouds, collections of 3D data acquired through LiDAR, are a crucial data type in self-driving car. In this project, we will learn how to process point clouds using the Open3D library. Let’s look at the data that we want to process, which is displayed by Figure 1.…
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Paper Summary: PointNet
In this blog post, we will explore the paper “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation” authored by Charles Qi et al., published in CVPR in 2017. Let’s begin! What is the Paper about? The paper introduces the PointNet architecture that is designed to handle point cloud. As recall in the…
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Project: Point Cloud Classification with PointNet
In this blog post, we will perform point cloud classification using the PointNet architecture. We will use Python with Tensorflow and Keras framework. Let’s dive in! 1. Short Introduction to the Project As discussed in the previous post, a point cloud is a set of data points in a 3D coordinate system. Point clouds are…
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An Introduction to Point Clouds
Hello everyone, and welcome to the first post of the blog. This time, I aim to explain the concept of point clouds in an approachable way. So, let’s dive in. What is a Point Cloud? I found this video from Geospatial World’s Youtube channel helpful in understanding the concept. The video sums up that a…
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