SHREC 2009 - Shape Retrieval Contest

2) Feature Distance: A computationally efficient inte- grated image descriptor named ZFEC is adopted for View Context computation. It contains a region-based Zernike moments feature

Finally, an increasing number of works, use the datasets of the SHREC’09 Querying with Partial Models [DGA ∗ ] and SHREC’10 Range Scan Retrieval [DGC ∗ ] datasets, that aim

In this paper, we have presented a sparse representation based framework to integrate local shape descriptors into a global shape descriptor for non-rigid 3D shape retrieval. The

Based on the View Context of the silhou- ette feature view and the sample views of a 3D model, we perform a 2D-3D alignment by shortlisting several (e.g. 16 in this case)

The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based on a large scale hand-drawn sketch query dataset which has 7200

This paper reports the results of the SHREC’14 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when

This paper compared non-rigid retrieval results obtained by 22 different methods, submitted by nine research groups, on two new datasets of human body models.. These datasets are

The objective of the SHREC’15 Range Scans based 3D Shape Retrieval track is to evaluate algorithms that match range scans of real objects to complete 3D mesh models in a