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Visualizing Changes in 2-d and 3-d Shapes
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ward, Matthew O. |
| Copyright Year | 2007 |
| Abstract | Approximate shape comparison involves comparing two shapes which diier in some aspects, but share some similarities. Typical regions of shape diierence result from image noise, occlusion, deformations, and aane transformations. This research presents a visual approach for relating shape diierence using Correlation Images. A Correlation Image (CI) is a powerful mechanism for visualizing similarities and diierences in ordered data by highlighting sequence data relationships using easily perceptible geometric shapes. The capabilities of four shape sequence representations, extracted from 2D contours of shapes and variants generated by various deformation processes, are explored for relating shape change using Correlation Images. In addition, a method to extend the technique to 3D shapes is presented. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://davis.wpi.edu/~matt/docs/dicta93.ps |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
