An Interactive Content-Based 3d Shape Retrieval System For On-Site Cultural Heritage Analysis
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)(2018)
摘要
In this paper, we analyse the process of designing a Content-Based 3D shape Retrieval (CB3DR) adapted for non-experts. Our CB3DR solution aims at scanning an object on the fly with a low-cost 3D sensor and retrieve similar shapes from a database using the 3D point cloud acquired. Our system should meet the requirements of archaeologists who would like to be able to acquire artefacts without prior expertise in scanning, then query easily from the field knowledge bases for Cultural Heritage, and thus retrieve artefacts (i.e. objects or parts of objects) with similar shape without carrying or even moving the artefact found on the site. This context is definitely a retrieval context rather than a classification one since the found artefact may be unknown.At the era of Deep Learning techniques, we investigate in this paper how to design a system which could benefit from the latest advances in 3D object recognition. We thus design a classic CBR workflow starting with a similarity search step followed by an interactive learning SVM which requires very simple positive-negative annotations from the users to refine the ranking provided by the similarity search. The 3D shapes are first described using data representations. We compare first the "old fashion" hand-crafted 3D descriptors (which do not require to be learnt or trained) with PointNet, one of the most recent 3D object deep representation. We evaluate our retrieval baseline against recent Deep Learning approaches on ModelNet10 and explore the potential of deep representations in our interactive learning framework.
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关键词
3D point cloud, object retrieval
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