A stereo imaging system for the metric 3D recovery of porcine surface anatomy
| Autor: | J. Paul Siebert, R.D. Tillett, N.J.B. McFarlane, Xiangyang Ju, Charles Patrick Schofield, Jiahua Wu |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Image segmentation Industrial and Manufacturing Engineering Stereo imaging Photogrammetry Metric (mathematics) Computer vision Artificial intelligence Electrical and Electronic Engineering business Computer stereo vision Surface anatomy Stereo camera ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Sensor Review. 24:298-307 |
| ISSN: | 0260-2288 |
| Popis: | We have succeeded in capturing porcine 3D surface anatomy in vivo by developing a high‐resolution stereo imaging system. The system achieved accurate 3D shape recovery by matching stereo pair images containing only natural surface textures at high (image) resolution. The 3D imaging system presented for pig shape capture is based on photogrammetry and comprises: stereo pair image acquisition, stereo camera calibration and stereo matching and surface and texture integration. Practical issues have been addressed, and in particular the integration of multiple range images into a single 3D surface. Robust image segmentation successfully isolated the pigs within the stereo images and was employed in conjunction with depth discontinuity detection to facilitate the integration process. The capture and processing chain is detailed here and the resulting 3D pig anatomy obtained using the system presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|