March 2018
Intermediate to advanced
1396 pages
42h 14m
English
In the previous section, we dealt with 2D object recognition using a 2D and 3D sensor. In this section, we will discuss 3D recognition. So what is 3D object recognition? In 3D object recognition, we take the 3D data or point cloud data of the surroundings and 3D model of the object. Then, we match the scene object with the trained model, and if there is a match found, the algorithm will mark the area of detection.
In real-world scenarios, 3D object recognition/detection is much better than 2D because in 3D detection, we use the complete information of the object, similar to human perception. But there are many challenges involved in this process too. Some of the main constrains are computational ...