Interactive 3D model extraction from a single image
| Autor: | Gerard Medioni, Alexandre R. J. François |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Object (computer science) Image (mathematics) Set (abstract data type) Computer graphics Image texture Computer Science::Computer Vision and Pattern Recognition Signal Processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Representation (mathematics) ComputingMethodologies_COMPUTERGRAPHICS Feature detection (computer vision) |
| Zdroj: | Image and Vision Computing. 19:317-328 |
| ISSN: | 0262-8856 |
| DOI: | 10.1016/s0262-8856(00)00081-0 |
| Popis: | We present a system at the junction between Computer Vision and Computer Graphics, to produce a three-dimensional (3D) model of an object as observed in a single image, with a minimum of high-level interaction from a user. The input to our system is a single image. First, the user points, coarsely, at image features (edges) that are subsequently automatically and reproducibly extracted in real-time. The user then performs a high level labeling of the curves (e.g. limb edge, cross-section) and specifies relations between edges (e.g. symmetry, surface or part). NURBS are used as working representation of image edges. The objects described by the user specified, qualitative relationships are then reconstructed either as a set of connected parts modeled as Generalized Cylinders, or as a set of 3D surfaces for 3D bilateral symmetric objects. In both cases, the texture is also extracted from the image. Our system runs in real-time on a PC. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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