SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models

Call For Participation:

SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models

Introduction

As shown in the figure, 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.

The objective of this track is to evaluate the performance of 3D shape retrieval approaches on the subset of a publicly available non-rigid 3D models database----McGill Articulated Shape Benchmark database.

Task description

The task is to evaluate the dissimilarity between every two objects in the database and then output the dissimilarity matrix.

Data set

The McGill Articulated Shape Benchmark database consists of 255 non-rigid 3D models which are classified into 10 categories. The maximum number of the objects in a class is 31, while the minimum number is 20.

200 models are selected (or modified) to generate our test database to ensure 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). The original database is publicly available on the website: http://www.cim.mcgill.ca/~shape/benchMark/

Evaluation Methodology

We will employ the following evaluation measures: Precision-Recall curve; Average Precision (AP) and Mean Average Precision (MAP); E-Measure; Discounted Cumulative Gain; Nearest Neighbor, First-Tier (Tier1) and Second-Tier (Tier2).

Procedure

The following list is a step-by-step description of the activities:

• The participants must register by sending a message to %20shrec [at] nist.gov (SHREC[at]nist[dot]gov). Early registration is encouraged, so that we get an impression of the number of participants at an early stage.
• The test database will be made available via this website.
• Participants will submit the dissimilarity matrix (also named as distance matrix) for the test database. Upto 5 matrixs per group may be submitted, resulting from different runs. Each run may be a different algorithm, or a different parameter setting. More information on the dissimilarity matrix file format
• The evaluations will be done automatically.
• The organization will release the evaluation scores of all the runs.
• The participants write a one page description of their method.
• The track results are combined into a joint paper, published in the proceedings of the Eurographics Workshop on 3D Object Retrieval.
• The description of the tracks and their results are presented at the Eurographics Workshop on 3D Object Retrieval (May 2, 2010).

Schedule

Organizers

Zhouhui Lian, Afzal Godil

Please Cite the paper :

SHREC'10 Track: Non-rigid 3D Shape Retrieval., Z. Lian, A. Godil, T. Fabry, T. Furuya, J. Hermans, R. Ohbuchi, C. Shu, D. Smeets, P. Suetens, D. Vandermeulen, S. Wuhrer 
In: M. Daoudi, T. Schreck, M. Spagnuolo, I. Pratikakis, R. Veltkamp (eds.), Proceedings of the Eurographics/ACM SIGGRAPH Symposium on 3D Object Retrieval, 2010. pdf paper