Using syntactic pattern recognition to extract feature information from a solid geometric data base.

TL;DR: A method has been developed to automatically extract manufacturing information in the form of part features, which has relevance in the areas of CAD/CAm linking, automated process planning, expert systems and, in fact, the interpretation of any 3-D data.

TL;DR: A method for extracting manufacturing shape features from the boundary representation of a polyhedral object by combining topologic and geometric evidences, and uses a combination of Dempster-Shafer decision theory and clustering techniques to reach its conclusions.

TL;DR: A method is presented for explicitly representing dimensions, tolerances, and geometric features in solid models in a graph structure called an object graph that provides an important foundation for higher-level application programs to automate tolerance analysis and synthesis.

TL;DR: This work proposes a general apporach, based on principal axis and tree reconstruction, to extract and unify feature representations while retaining the simplicity and conciseness of CSG.