Revealing the Ancient Beauty: Digital Reconstruction of Temple Tiles using Computer Vision
Arkaprabha Basu

TL;DR
This paper introduces innovative computer vision techniques for digital reconstruction of Indian temple tiles, enhancing preservation and restoration with high detail, authenticity, and cost-effectiveness.
Contribution
It presents three novel methods—Fractal Convolution segmentation, Self-Sensitive Tile Filling, and MosaicSlice data augmentation—for improved cultural heritage digitization.
Findings
Successful segmentation of architectural patterns
Effective tile filling with high detail preservation
Enhanced image upscaling maintaining quality
Abstract
Modern digitised approaches have dramatically changed the preservation and restoration of cultural treasures, integrating computer scientists into multidisciplinary projects with ease. Machine learning, deep learning, and computer vision techniques have revolutionised developing sectors like 3D reconstruction, picture inpainting,IoT-based methods, genetic algorithms, and image processing with the integration of computer scientists into multidisciplinary initiatives. We suggest three cutting-edge techniques in recognition of the special qualities of Indian monuments, which are famous for their architectural skill and aesthetic appeal. First is the Fractal Convolution methodology, a segmentation method based on image processing that successfully reveals subtle architectural patterns within these irreplaceable cultural buildings. The second is a revolutionary Self-Sensitive Tile Filling…
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Taxonomy
Topics3D Surveying and Cultural Heritage · Image Processing and 3D Reconstruction · Cultural Heritage Materials Analysis
