BOP: Benchmark for 6D Object Pose Estimation. ECCV 2018, in press.T. Hodan and F. Michel and E. Brachmann and W. Kehl and A. Buch and D. Kraft and B. Drost and J. Vidal and S. Ihrke and X. Zabulis and C. Sahin and F. Manhardt and F. Tombari and T-K. Kim and J. ...
BOP: Benchmark for 6D Object Pose EstimationTomᡠs Hodaˇ n 1∗ , Frank Michel 2∗ , Eric Brachmann 3 , Wadim Kehl 4Anders Glent Buch 5 , Dirk Kraft 5 , Bertram Drost 6 , Joel Vidal 7 , Stephan Ihrke 2Xenophon Zabulis 8 , Caner Sahin 9 , Fabian Manhardt 10 , Federico ...
摘要: We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the object in known 6D...DOI: 10.1007/978-3-030-01249-6_2 年份: 2018 ...
We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the object in known 6D poses. The benchmark comprises of: i) eight datasets in a unified format that cover diffe...
Rother, "BOP: Benchmark for 6D Object Pose Estimation", ECCV, 2018T. Hodan, F. Michel, E. Brachmann, W. Kehl, A. G. Buch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, C. Sahin, F. Manhardt, F. Tombari, T. Kim, J. Matas, and C. Rother. BOP: benchmark ...