Multi-View 3D Shape Retrieval

Multi-View 3D Shape Retrieval is a computer vision technology designed to efficiently and accurately retrieve and match 3D shape models using multi-view image inputs. The core objective of this technology is to extract and reconstruct 3D shapes from images obtained from different viewpoints and then quickly locate the 3D model most similar to the query object through feature matching and similarity calculations. Its application value is extensive, including 3D object recognition, scene reconstruction, virtual reality, and augmented reality, significantly enhancing the efficiency and accuracy of 3D data processing.