3D Shape Retrieval Benchmarking and Contests

GRAND Seminar Feb. 25, 12 PM., Tuesday. 2014, ENGR 4207

Afzal Godil
National Institute of Standards and Technology
Information Access Division

Abstract:

Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different methodologies on a standard dataset. Here we describe the procedures involved in developing a benchmark and issues involved. We then discuss some of the current 3D shape retrieval benchmarking efforts of our group and others. We also review the different performance evaluation measures that are developed and used by researchers in the community. After that we give an overview of the 3D shape retrieval contest (SHREC) tracks run under the EuroGraphics Workshop on 3D Object Retrieval and give details of the tracks that we have organized for SHREC.Then we present some of the results based on the different SHREC contest tracks and the other NIST shape benchmark. Finally, I will describe some recent non-rigid 3D shape retrieval algorithms developed by our group.

Short Bio:

Afzal Godil is a project leader in the Information Technology Laboratory at National Institute of Standards and Technology (NIST) where he has been for over seventeen years. Prior to that he has worked at the NASA Langley and Lewis Research centers. His main research interests are in 3D shape analysis and retrieval, digital human modeling, shape metrology, computer vision and computational methods. He has organized twelve Shape Retrieval tracks at the different Eurographics Workshop on 3D Object Retrieval. He is also active in a variety of standards efforts, such as Web graphics, Anthropometry and Medical extension of X3D.