3D Object Reconstruction from Hand-Object Interactions

April 03, 2017 ยท Entered Twilight ยท ๐Ÿ› IEEE International Conference on Computer Vision

๐ŸŒ… TWILIGHT: Old Age
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Repo contents: 3rd_party, CMakeLists.txt, QT_Creator_Project.pro, README.md, SCRIPT__1__WaterBottle.sh, SCRIPT__2__BowlingPin.sh, SCRIPT__3__SmallBottle.sh, SCRIPT__4__Sphere.sh, cmake_modules, config, include, src

Authors Dimitrios Tzionas, Juergen Gall arXiv ID 1704.00529 Category cs.CV: Computer Vision Citations 86 Venue IEEE International Conference on Computer Vision Repository https://github.com/dimtziwnas/InHandScanningICCV15_Reconstruction โญ 22 Last Checked 6 days ago
Abstract
Recent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera. Although these approaches are successful for a wide range of object classes, they rely on stable and distinctive geometric or texture features. Many objects like mechanical parts, toys, household or decorative articles, however, are textureless and characterized by minimalistic shapes that are simple and symmetric. Existing in-hand scanning systems and 3d reconstruction techniques fail for such symmetric objects in the absence of highly distinctive features. In this work, we show that extracting 3d hand motion for in-hand scanning effectively facilitates the reconstruction of even featureless and highly symmetric objects and we present an approach that fuses the rich additional information of hands into a 3d reconstruction pipeline, significantly contributing to the state-of-the-art of in-hand scanning.
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