Lifting convolutional neural networks to 3D data is challenging due to different data modalities (videos, image volumes, CAD models, LiDAR data etc.) as well as computational limitations (regarding runtime and memory). In this article, I want to summarize several recent papers addressing these problems and tackling different applications such as shape recognition, shape retrieval, medical image segmentation or object detection.
This time in “Working with Ubuntu”: solving
LAPACKE_H_PATH-NOTFOUND when installing OpenCV and some useful Netbeans plugins.