An automatic multi-image procedure for accurate 3D object reconstruction
This paper presents an automated methodology for the accurate reconstruction of surfaces and 3D objects. This method was developed for close-range photogrammetric applications, with a particular attention to terrestrial free-form objects that can be modeled with point clouds extracted from high resolution images. The image orientation phase is carried out using an automatic procedure based on a rigorous bundle adjustment. Then, an approximate model is obtained using a patch-based matching strategy. Then, this initial model is refined using a Multi-Image Least Squares Matching (MGCM) implementation, increasing in this way the precision of the final model and giving the possibility to evaluate its consistency using a rigorous variancecovariance propagation. The multi-image matching result is a dense point cloud describing in an accurate way the object surface. The derived point cloud is used to obtain a mesh which is finally textured obtaining a photo-realistic result.
Image Matching Orientation Surface Reconstruction Accuracy
Previtali M. Barazzetti L. Scaioni M. Tian Y.
Politecnico di Milano Dept. BEST, P.za L. da Vinci 32, Milano, Italy, 20133 Tongji University Dept. of Surveying and Geo-Informatics B701 Tumu Building, 1239 Siping Road, Shang
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1421-1425
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）