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• W2182272153 abstract "Nowadays, many cultural heritage applications require a 3D reconstruction of complex real world objects. Due to the complexity of real world objects, 3D reconstruction is often very time consuming and involves in general much manual effort. Therefore we report in this paper on a novel automatic 3D reconstruction approach to create virtual models of real world objects from a set of images with high redundancy. The power of our approach can be derived from the fact that we utilize the given redundancy to solve one of the main problems in photogrammetry, namely the correspondence problem. On the other hand we focus on minimizing the human interaction during the modeling process. The reconstruction pipeline starts with an image acquisition step, which consists of taking handheld images of the object with a calibrated digital consumer camera with short baselines. The rest of the workflow is represented by four consecutive steps: automatic orientation, multiple image segmentation, dense matching and multiview texturing. We demonstrate the accuracy, robustness and effectiveness of our proposed approach on several different real world objects." @default.
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• W2182272153 date "2005-01-01" @default.
• W2182272153 modified "2023-09-23" @default.
• W2182272153 title "HIGH QUALITY 3D RECONSTRUCTION OF COMPLEX CULTURAL OBJECTS" @default.
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