TY - GEN
T1 - Automatic 3D object fracturing for evaluation of partial retrieval and object restoration tasks - Benchmark and application to 3D cultural heritage data
AU - Gregor, Robert
AU - Bauer, Danny
AU - Sipiran, Ivan
AU - Perakis, Panagiotis
AU - Schreck, Tobias
N1 - Publisher Copyright:
© The Eurographics Association 2015.
PY - 2015
Y1 - 2015
N2 - Recently, 3D digitization and printing hardware have seen rapidly increasing adoption. High-quality digitization of real-world objects is becoming more and more efficient. In this context, growing amounts of data from the cultural heritage (CH) domain such as columns, tombstones or arches are being digitized and archived in 3D repositories. In many cases, these objects are not complete, but fragmented into several pieces and eroded over time. As manual restoration of fragmented objects is a tedious and error-prone process, recent work has addressed automatic reassembly and completion of fragmented 3D data sets. While a growing number of related techniques are being proposed by researchers, their evaluation currently is limited to smaller numbers of high-quality test fragment sets. We address this gap by contributing a methodology to automatically generate 3D fragment data based on synthetic fracturing of 3D input objects. Our methodology allows generating large-scale fragment test data sets from existing CH object models, complementing manual benchmark generation based on scanning of fragmented real objects. Besides being scalable, our approach also has the advantage to come with ground truth information (i.e. the input objects), which is often not available when scans of real fragments are used. We apply our approach to the Hampson collection of digitized pottery objects, creating and making available a first, larger restoration test data set that comes with ground truth. Furthermore, we illustrate the usefulness of our test data for evaluation of a recent 3D restoration method based on symmetry analysis and also outline how the applicability of 3D retrieval techniques could be evaluated with respect to 3D restoration tasks. Finally, we discuss first results of an ongoing extension of our methodology to include object erosion processes by means of a physiochemical model simulating weathering effects.
AB - Recently, 3D digitization and printing hardware have seen rapidly increasing adoption. High-quality digitization of real-world objects is becoming more and more efficient. In this context, growing amounts of data from the cultural heritage (CH) domain such as columns, tombstones or arches are being digitized and archived in 3D repositories. In many cases, these objects are not complete, but fragmented into several pieces and eroded over time. As manual restoration of fragmented objects is a tedious and error-prone process, recent work has addressed automatic reassembly and completion of fragmented 3D data sets. While a growing number of related techniques are being proposed by researchers, their evaluation currently is limited to smaller numbers of high-quality test fragment sets. We address this gap by contributing a methodology to automatically generate 3D fragment data based on synthetic fracturing of 3D input objects. Our methodology allows generating large-scale fragment test data sets from existing CH object models, complementing manual benchmark generation based on scanning of fragmented real objects. Besides being scalable, our approach also has the advantage to come with ground truth information (i.e. the input objects), which is often not available when scans of real fragments are used. We apply our approach to the Hampson collection of digitized pottery objects, creating and making available a first, larger restoration test data set that comes with ground truth. Furthermore, we illustrate the usefulness of our test data for evaluation of a recent 3D restoration method based on symmetry analysis and also outline how the applicability of 3D retrieval techniques could be evaluated with respect to 3D restoration tasks. Finally, we discuss first results of an ongoing extension of our methodology to include object erosion processes by means of a physiochemical model simulating weathering effects.
UR - http://www.scopus.com/inward/record.url?scp=85016202910&partnerID=8YFLogxK
U2 - 10.2312/3DOR.20151049
DO - 10.2312/3DOR.20151049
M3 - Conference contribution
AN - SCOPUS:85016202910
T3 - Eurographics Workshop on 3D Object Retrieval, EG 3DOR
SP - 7
EP - 14
BT - EG 3DOR 2015 - Eurographics 2015 Workshop on 3D Object Retrieval
A2 - Spagnuolo, Michela
A2 - Van Gool, Luc
A2 - Pratikakis, Ioannis
A2 - Theoharis, Theoharis
A2 - Veltkamp, Remco
PB - Eurographics Association
T2 - 8th Eurographics Workshop on 3D Object Retrieval, 3DOR 2015
Y2 - 2 May 2015 through 3 May 2015
ER -