Abstract
An intuitive image-based 3D reconstruction tool based on inaccurate user strokes is presented in this paper. The combination of fast image segmentation method together with user knowledge about reconstructed scene forms a novel low-polygonal editor suitable for architecture reconstruction. The user interaction is minimized thanks to propagation of strokes among input photographs. The final model geometry is created by innovative algorithm. The input to the tool is a set of calibrated photographs together with a sparse pointcloud. The output is a structured low-poly 3D model. © 2012 Springer-Verlag.
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CITATION STYLE
Sedlacek, D., & Zara, J. (2012). User driven 3D reconstruction environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7431 LNCS, pp. 104–114). https://doi.org/10.1007/978-3-642-33179-4_11
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