Method Of 2D And 3D Object Recognition In Nonoptimal Conditions
| Autor: | Hannu Hakalahti, Ilkka Moring |
|---|---|
| Rok vydání: | 1985 |
| Předmět: |
Matching (graph theory)
Computer science business.industry Machine vision 3D single-object recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition Image segmentation 3D modeling Data modeling Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Realization (systems) |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | This paper describes an object recognition method that works in nonoptimal conditions. The method does not require a fixed camera position and can be applied in cases of partially occluded objects and noisy image data. The method is based on matching local properties of the contours of the model with the corresponding properties of image contours using a Hough-method. A general scheme for three-dimensional recognition is developed. The special case of two-dimensional recognition is carefully studied and a two-phase, piece-wise algorithm tuned for hardware realization is designed. The performance of the algorithms is shown through experiments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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