{
    "identifier": "ark:\/88434\/mds2-2215",
    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:[email protected]",
        "fn": "Afzal A. Godil"
    },
    "programCode": [
        "006:045"
    ],
    "landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-2215",
    "title": "SHREC'11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes",
    "description": "Non-rigid 3D objects are commonly seen in our surroundings. However, previous efforts have been mainly devoted to the retrieval of rigid 3D models, and thus comparing non-rigid 3D shapes is still a challenging problem in content-based 3D object retrieval. Therefore, we organize this track to promote the development of non-rigid 3D shape retrieval.\nThe objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-scale database of non-rigid 3D watertight meshes generated by our group.\n\nTask description: The task is to evaluate the dissimilarity between every two objects in the database and then output the dissimilarity matrix.\n\nData set: Our large-scale database consists of 600 non-rigid 3D objects (see the figure for some examples) that are created by our group using some modeling software and our own codes. We classified these models properly to make sure that every class contains equal number of models. The models are represented as watertight triangle meshes and the file format is selected as the ASCII Object File Format (*.off).\n(Note that: Some of these models we recreated and modified with permission are originally from several publicly available databases: such as McGill database, TOSCA shapes, Princeton Shape Benchmark, etc.)\n\nEvaluation Methodology: We will employ the following evaluation measures: Precision-Recall curve; E-Measure; Discounted Cumulative Gain; Nearest Neighbor, First-Tier (Tier1) and Second-Tier (Tier2).\n\nPlease Cite the paper : SHREC'11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes, Z. Lian, A. Godil, B. Bustos, M. Daoudi, J. Hermans, S. Kawamura, Y. Kurita, G. Lavou\u00ef\u00bf\u00bd, H.V. Nguyen, R. Ohbuchi, Y. Ohkita, Y. Ohishi, F. Porikli, M. Reuter, I. Sipiran, D. Smeets, P. Suetens, H. Tabia, and D. Vandermeulen , In: H. Laga and T. Schreck, A. Ferreira, A. Godil, I. Pratikakis, R. Veltkamp (eds.), Proceedings of the Eurographics\/ACM SIGGRAPH Symposium on 3D Object Retrieval, 2011. http:\/\/dx.doi.org\/10.2312\/3DOR\/3DOR11\/079-088\n",
    "language": [
        "en"
    ],
    "distribution": [
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2215\/SHREC2011_NonRigid.zip.sha256",
            "mediaType": "text\/plain",
            "title": "SHA256 File for SHREC'11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2215\/SHREC2011_NonRigid.zip",
            "description": "Non-rigid 3D models, Shape Retrieval on Non-rigid 3D Models",
            "mediaType": "application\/zip",
            "title": "SHREC'11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes"
        },
        {
            "accessURL": "https:\/\/doi.org\/10.18434\/M32215",
            "title": "DOI Access for SHREC'11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes"
        }
    ],
    "bureauCode": [
        "006:55"
    ],
    "modified": "2011-02-04 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "theme": [
        "Mathematics and Statistics:Image and signal processing",
        "Information Technology:Data and informatics"
    ],
    "keyword": [
        "3D Non-rigid Shape Retrieval",
        "3D Non-rigid Models",
        "3D Shape Analysis",
        "Evaluation"
    ]
}