3D Shape Classification

3D shape classification involves categorizing objects based on their three-dimensional forms. Using computer algorithms, it analyzes features like curves, edges, and surfaces to recognize and differentiate objects such as chairs, cars, or animals. This process is essential for applications like robotics, virtual reality, and medical imaging, enabling machines to understand and interact with the physical world accurately. It combines data from 3D scans or models with machine learning techniques to automatically identify and classify shapes, facilitating navigation, object recognition, and analysis across various industries.