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• W2115362620 abstract "In this paper we want to start the discussion on whether image based 3-D modelling techniques can possibly be used to replace LIDAR systems for outdoor 3D data acquisition. Two main issues have to be addressed in this context: (i) camera calibration (internal and external) and (ii) dense multi-view stereo. To investigate both, we have acquired test data from outdoor scenes both with LIDAR and cameras. Using the LIDAR data as reference we estimated the ground-truth for several scenes. Evaluation sets are prepared to evaluate different aspects of 3D model building. These are: (i) pose estimation and multi-view stereo with known internal camera parameters; (ii) camera calibration and multi-view stereo with the raw images as the only input and (iii) multi-view stereo." @default.
• W2115362620 created "2016-06-24" @default.
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• W2115362620 date "2008-06-01" @default.
• W2115362620 modified "2023-10-10" @default.
• W2115362620 title "On benchmarking camera calibration and multi-view stereo for high resolution imagery" @default.
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• W2115362620 doi "https://doi.org/10.1109/cvpr.2008.4587706" @default.
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