A new perceptual organization approach to 3D measuring system based on the fuzzy integral
| Autor: | A. Bigand, J. P. Dubus, L. Evrard |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
business.industry
3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Object (computer science) Fuzzy logic Edge detection Line segment Complete information Computer Science::Computer Vision and Pattern Recognition Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Projection (set theory) business Membership function Mathematics |
| Zdroj: | Image and Vision Computing. 24:381-393 |
| ISSN: | 0262-8856 |
| DOI: | 10.1016/j.imavis.2005.12.003 |
| Popis: | A new algorithm for perceptual grouping using the fuzzy integral and primarily aimed at static scenes (industrial images) analysis is presented. Our purpose is to build the planar surfaces of three-dimensional (3D) polyhedric objects from labeled line segments using an active vision system (projection of laser planes on the object and 3D reconstruction using a CCD camera). Each line segment is first characterized by three geometric constraints, which are assigned by a specific membership function. These constraints are used in geometric relations between image features (such as collinear and parallel relations) through the fuzzy integral for grouping the line segments with accuracy, since edge detection gives imperfect and incomplete information. |
| Databáze: | OpenAIRE |
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