Deep Learning For 3d Point Clouds 1st Edition Wei Gao Ge Li by Wei Gao, Ge Li 9789819795697, 9819795699 instant download after payment.

The last decade has witnessed the great success of deep learning theories, methods, and applications in almost all science and engineering fields. As is implied by the name,  deep learning leverages the powerful capability of deep neural networks as machine learning models to fulfill complex prediction, understanding, and decision problems, as long as there are large-scale datasets and sufficient computing power.
For computer vision tasks, people are now not satisfied with 2D images anymore, and in these circumstances, 3D modeling capability from 3D point clouds becomes much more important and popular. For 3D human and machine perception, 3D point clouds can provide the immersive visual experience and the high-precision 3D modeling for 3D objects, indoor and outdoor scenes. Moreover, recently large language model (LLM) and Multimodal LLM have been extensively investigated, and 3D pretrained models and 3D large models are expected to bring new opportunities to reshape the world, especially by the means of embodied AI.