Abstract
A new idea is presented which integrates the principal axes method and moment method to normalize and recognize 3D objects. First, criteria for determining the unique principal axes were established which can perform efficiently to normalize the orientations of 3D objects.Then, 3D moment invariants which are position, orientation and scaling independent were derived. Finally, by using the second and third order moment invariants a discriminating vector and criteria for 3D objects recognition were presented. Experimental results of normalization and recognition of twelve 3D objects show the efficiency of our method.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 672-680 |
| Number of pages | 9 |
| Journal | Zidonghua Xuebao/Acta Automatica Sinica |
| Volume | 22 |
| Issue number | 6 |
| State | Published - Nov 1996 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Software
- Control and Systems Engineering
- Information Systems
- Computer Graphics and Computer-Aided Design