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Titlebook: Heritage Preservation; A Computational Appr Bhabatosh Chanda,Subhasis Chaudhuri,Santanu Chaudh Book 2018 Springer Nature Singapore Pte Ltd.

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Ontology-Driven Content-Based Retrieval of Heritage Images,t annotated databases of heritage images that are collected from various heritage sites across India. A web-based system has also been developed to provide a suitable interface and to demonstrate this technique.
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An Image Dataset of Bishnupur Terracotta Temples for Digital Heritage Research,algorithms, we have shown here its usefulness by testing the images for four different applications: 3D reconstruction, image inpainting, texture classification, and content-specific figure spotting and retrieval. Note that we have shown the results of baseline methods only. The dataset is publicly available at . for research purpose only.
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Book 2018le solutions. It covers various methods, ranging from data acquisition and digital imaging to computational methods for reconstructing the original (pre-damaged) appearance of heritage artefacts..The case studies presented here are mostly drawn from India’s tangible and non-tangible heritage, which
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,3D–2D Data Fusion in Cultural Heritage Applications,or architectural planning purpose. The proposed processing workflow describes the data acquisition tasks, the steps of the data processing, and the proposed method used for colorizing the point cloud from multiple cameras by choosing the camera with the best view based on different conditions. We show results on two Reformed churches.
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Visually Reconstructed Krishna Temple, Hampi, Karnataka,been taken for study, documentation, analysis of design elements, and 3D Virtual modeling/reconstruction of the complete temple complex. The project is an insight of graphical, pictorial, and digital reconstruction using AutoCAD, Google SketchUp, and Kinect software.
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