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A stereo imaging system for the metric 3D recovery of porcine surface anatomy

Xiangyang Ju (Department of Computing Science, University of Glasgow, Glasgow, UK)
J. Paul Siebert (Department of Computing Science, University of Glasgow, Glasgow, UK)
Nigel J.B. McFarlane (Silsoe Research Institute, Silsoe, UK)
Jiahua Wu (Silsoe Research Institute, Silsoe, UK)
Robin D. Tillett (Silsoe Research Institute, Silsoe, UK)
Charles Patrick Schofield (Silsoe Research Institute, Silsoe, UK)

Sensor Review

ISSN: 0260-2288

Article publication date: 1 September 2004

Abstract

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.

Keywords

Citation

Ju, X., Paul Siebert, J., McFarlane, N.J.B., Wu, J., Tillett, R.D. and Patrick Schofield, C. (2004), "A stereo imaging system for the metric 3D recovery of porcine surface anatomy", Sensor Review, Vol. 24 No. 3, pp. 298-307. https://doi.org/10.1108/02602280410545948

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited