In this paper we present the results of the SHREC’09- Generic Shape Retrieval Contest. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on the NIST generic shape benchmark. We hope that the NIST shape benchmark will provide valuable contributions to the 3D shape retrieval community. Seven groups have participated in the track and they have submitted 22 sets of rank lists based on different methods and parameters. The performance evaluation of the SHREC’09- Generic Shape Retrieval Contest is based on 6 different metrics
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods fo...
<p>Retrieval performance comparisons on SHREC’11 3D shape dataset using various measures.</p
In this paper we present the results of the SHREC’09- Generic Shape Retrieval Contest. The aim of th...
In this paper we present the results of the SHREC'09 - Generic Shape Retrieval Contest. The aim of t...
In this paper we present the results of the SHREC'09 - Generic Shape Retrieval Contest. The aim of t...
Generic 3D shape retrieval is a fundamental research field of content-based 3D model retrieval. The ...
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a lar...
Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval....
Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape ...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
© The Eurographics Association 2011. Non-rigid 3D shape retrieval has become an important research t...
With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is ...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods fo...
<p>Retrieval performance comparisons on SHREC’11 3D shape dataset using various measures.</p
In this paper we present the results of the SHREC’09- Generic Shape Retrieval Contest. The aim of th...
In this paper we present the results of the SHREC'09 - Generic Shape Retrieval Contest. The aim of t...
In this paper we present the results of the SHREC'09 - Generic Shape Retrieval Contest. The aim of t...
Generic 3D shape retrieval is a fundamental research field of content-based 3D model retrieval. The ...
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a lar...
Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval....
Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape ...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
© The Eurographics Association 2011. Non-rigid 3D shape retrieval has become an important research t...
With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is ...
Non-rigid 3D shape retrieval has become a research hotpot in communities of computer graphics, compu...
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods fo...
<p>Retrieval performance comparisons on SHREC’11 3D shape dataset using various measures.</p