首页|Studies from Norwegian University of Science and Technology (NTNU) Have Provided New Data on Machine Learning (Toward Solving a Puzzle of Fragmented Archeologic al Textiles)
Studies from Norwegian University of Science and Technology (NTNU) Have Provided New Data on Machine Learning (Toward Solving a Puzzle of Fragmented Archeologic al Textiles)
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Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Gjovik, Norway, by Ne wsRx editors, research stated, "Archeological textiles can provide invaluable in sight into the past. However, they are often highly fragmented, and a puzzle has to be solved to re-assemble the object and recover the original motifs." Our news journalists obtained a quote from the research from the Norwegian Unive rsity of Science and Technology (NTNU), "Unlike common jigsaw puzzles, archeolog ical fragments are highly damaged, and no correct solution to the puzzle is know n. Although automatic puzzle solving has fascinated computer scientists for a lo ng time, this work is one of the first attempts to apply modern machine learning solutions to archeological textile re-assembly. First and foremost, it is impor tant to know which fragments belong to the same object. Therefore, features are extracted from digital images of textile fragments using color statistics, class ical texture descriptors, and deep learning methods. These features are used to conduct clustering and identify similar fragments. Four different case studies w ith increasing complexity are discussed in this article: from well-preserved tex tiles with available ground truth to an actual open problem of Oseberg archeolog ical tapestry with unknown solution."
GjovikNorwayEuropeCyborgsEmergin g TechnologiesMachine LearningNorwegian University of Science and Technology (NTNU)
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