Feature Recognition Applications in Mesh Generation'
نویسندگان
چکیده
The use of feature recognition as part of an overall decomposition-based hexahedral meshing approach is described in this paper. Our meshing approach consists of feature recognition, using a c-loop or hybrid c-loop method, and the use of cutting surfaces to decompose the solid model. These steps are part of an iterative process, which proceeds either until no more features can be recognized or until the model has been completely decomposed into meshable sub-volumes. This method can greatly reduce the time required to generate an all-hexahedral mesh, either through the use of more efficient meshing algorithms on more of the geometry or by reducing the amount of manual decomposition required to mesh a volume.
منابع مشابه
Volume Decomposition and Feature Recognition for Hexahedral Mesh Generation
Considerable progress has been made on automatic hexahedral mesh generation in recent years. Several automatic meshing algorithms have proven to be very reliable on certain classes of geometry. While it is always worth pursuing general algorithms viable on more general geometry, a combination of the well-established algorithms is ready to take on classes of complicated geometry. By partitioning...
متن کامل3D Face Recognition Using Face Feature Points Based on Parallel Stereo Vision
In this paper, we will present a novel face recognition algorithm using 3D geometric information of the face, which is acquired using parallel stereo vision. Firstly, we present an effective method of detecting facial feature, which mainly depends on the facial skin color information in the YCbCr color space. We define the feature points for the facial feature and compute the depth data of each...
متن کاملAutomatic scheme selection for toolkit hex meshing
Current hexahedral mesh generation techniques rely on a set of meshing tools, which when combined with geometry decomposition leads to an adequate mesh generation process. Of these tools, sweeping tends to be the workhorse algorithm, accounting for at least 50 per cent of most meshing applications. Constraints which must be met for a volume to be sweepable are derived, and it is proven that the...
متن کاملAutomatic Recognition of Features from Cad Models for Mesh Generation
Automatic recognition of features from CAD models is one of the key technologies for mesh generation. This paper studies the algorithm for automatic recognition of features from CAD models in STL data format. Firstly, a new STL data file with topological connection is constructed for the calculation. Secondly, the coplanar relationships among all the triangle facets are constructed initially. T...
متن کاملA Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
متن کامل