feature recognition

However, building feature recognition systems that function effectively on real industrial products has been elusive.

Few commercial feature recognition systems are also available.

Manufacturing features such as 3-axis and 5-axis feature recognition are generally not available in such commercial systems.

"Motion influences emotion, but also structural facial features recognition".

CAM software and design for manufacturing software are also built using this feature recognition technology.

In the graph-based feature recognition, a graph showing the topology of the part (connection of faces) is created.

For example, feature recognition algorithms usually assume sharp concave edges in the feature geometry.

Sheet metal feature recognition library extracts features from a sheet metal perspective.

FeatureWorks is feature recognition software that lets designers make changes to static geometric data, increasing the value of translated files.

Work on features (generally called feature technology) can be divided into two rough categories: Design-by-features and Feature recognition.

The bulk of the feature recognition literature normally deals with 2.5D features (those made by sweeping a 2D profile along a linear axis).

Biometrics (human feature recognition)

Image processing of still and moving video, with feature recognition as well as image data extraction is used to support research into cultural and historical change.

The patent application discusses a number of other authentication methods, including facial feature recognition and even retinal scanning, although those may not be coming any time soon.

Its key technologies include Feature Recognition, NestLib (nesting software), and GeomDiff.

Automatic Feature Recognition (AFR) is regarded as an ideal solution to automate design and manufacturing processes.

Major 3D CAD modelers have Feature Recognition to convert imported 3-D models into native feature based models.

Few CAD/CAM software have used commercially available third-party feature recognition library, which recognizes various features from 3-D B-Rep models.

It uses its knowledge base (called TechDB) and Automatic Feature Recognition (AFR) tools to help in the machining processes.

The Features that cannot be found automatically or that need to be defined for your specific machining requirements can be defined effortlessly using the Interactive Feature Recognition (IFR) wizard.

Design feature recognition library can identify features such as holes of various types, split holes, hole-chains, fillets, chamfers, cut extrudes, boss extrudes, drafted extrudes, revolved cuts, revolved bosses, ribs, drafts, lofts and sweeps are identified.

WorkNC-CAD has advanced intelligent surface morphing for filling simple or complex cavities, automatic 2D feature recognition and cycle definition for drilling, counterboring, reaming and tapping, as well as automatic mold and die core separation.

Though feature recognition technology can be applied for various applications, commercial software have effectively adopted feature recognition technology for recreating the feature tree from imported models so that even the imported models can be edited as if it were a native solid model.