The National Museum of Ireland has about 5 million artifacts distributed across different physical locations. Essentially this means that only small fraction of these are accessible to the public at any time. Digital Libraries support the 3D browsing and retrieval of cultural

museum artefacts and offer a potential solution to this problem. This paper describes a final year project where the objective was to build a search engine that: (1) could operate over a digital library storing digitized 3D

model representations of objects, and (2) could be integrated with the existing DigiFact system architecture based in CDVP at DCU

Chen, Jing

McGinty, Lorraine

O'Connor, Noel E.

English

The National Museum of Ireland has about 5 million artifacts distributed across different physical locations. Essentially this means that only small fraction of these are accessible to the public at any time. Digital Libraries support the 3D browsing and retrieval of cultural\ud
museum artefacts and offer a potential solution to this problem. This paper describes a final year project where the objective was to build a search engine that: (1) could operate over a digital library storing digitized 3D\ud
model representations of objects, and (2) could be integrated with the existing DigiFact system architecture based in CDVP at DCU

Name not available

A Search Engine for 3D Modelsof Museum ArtefactsJing Chen, Lorraine McGinty & Noel O’Connor∗School of Computer Science & Informatics,University College Dublin (UCD), Ireland∗School of Electronic Engineering, Dublin City University (DCU), Ireland{jing.chen,lorraine.mcginty}@ucd.ie and {oconnorn}@eeng.dcu.ieAbstract. The National Museum of Ireland1 has about 5 million ar-tifacts distributed across different physical locations. Essentially thismeans that only small fraction of these are accessible to the public at anytime. Digital Libraries support the 3D browsing and retrieval of culturalmuseum artefacts and offer a potential solution to this problem. This pa-per describes a final year project where the objective was to build a searchengine that: (1) could operate over a digital library storing digitized 3Dmodel representations of objects, and (2) could be integrated with theexisting DigiFact2 system architecture based in CDVP3 at DCU.Key words: 3D Model Retrieval, Shape Distribution1 Summary of ApproachMotivated by the rapidly increasing of digitized 3D models and the growing needfor more advanced digital library services to allow for increases accessibility [1,2],this work looks at how to represent, index, search and retrieve 3D objects. Twodatasets (VRML models) were used. One contains 57 models that are freelydownloadable from http://www.informatik.uni-leipzig.de/˜vranic/CCCC/. An-other, containing 17 objects, which were scanned by using a specialised capturerig available in the CDVP. An adaptation of the Shape Distribution [2] approachintroduced by Princetons 3D model search engine was implemented and testedby this work. This method uses geometric distributions as a basis for similarityand retrieval, it is a generalization of geometric histogram that represents 3Dmodels as a probability distribution sampled from a shape function measuringproperties of the 3D model. Five alternate shape functions [2] were implementedand evaluated as part of this work. They were:– A3: Measures the angle between 3 random points on the model surface.– D1: Measures the distance between a fixed point (e.g., centroid) and onerandom point on the surface.1 http://www.museum.ie2 Digitization of Museum Artefacts Facilitating Search and Retrieval3 Centre for Digital Video Processing2 A Search Engine for 3D Models of Museum Artefacts– D2: Measures the distance between two random points on the surface.– D3: Measures the square root of the area of the triangle between three ran-dom points on the surface.– D4: Measures the cube root of the volume of the tetrahedron between fourrandom points on the surface.(a) (b)Fig. 1. Screenshot of Search Interface: (a)Models from DCU; (b)Retrieval results oftennis ball model from DCU with D3 descriptor2 Experimental Testing SummaryFig. 1 shows the query-by-samples search interface to the final working 3D searchengine of museum artefacts that was ultimately developed and used by real usersto compare the effectiveness of using each of the shape functions outlined. One ofthe tests carried out was a bullseye test whereby if there are A number of modelsin database, where n shapes in N categories, then each model is compared toevery other shapes in the database, and the number of correct matches in thetop X retrievals is counted. There are m possible correct matches per shapequeried. The retrieval rate is the total number of correct matches divided by thetotal number possible, which is n [3]. This test showed that shape functions A3,D1 and D4 were the best in 6 out of 8 categories (i.e., 75% of the time); the bestshape function overall was D4, it achieved best results for 37% of categories, andAccurary ranges of bet 40% and 80% in each categories; meanwhile, D2 is theworst shape function overall, the accuracy range bet 30% and 70%, and it wasnot the best descriptor for any individual category.References1. Griffin, S. M. (Program Manager of the Digital Libraries Initiative, NSF): Takingthe Initiative for Digital Libraries. The Electronic Library, 16(1), 24-27, 19982. Osada, R., Funkhouser, T., Chazelle, B., and Dobkin, D.: Shape Distribution.Princeton University. ACM Transaction on Graphics 21(4), pp.807-832, 20023. McNeill, G., Vijayakumar, S.: A Probabilistic Approach to Robust Shape Matching.In Proceedings of International Conference on Image Processing, Atlanta, GA, 2006

A search engine for 3D models of museum artefacts

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A Probabilistic Approach to Robust Shape Matching.

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A search engine for 3D models of museum artefacts

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