Data-aware 3D partitioning for generic shape retrieval
|Title||Data-aware 3D partitioning for generic shape retrieval|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Sipiran, I, Bustos, B, Schreck, T|
|Journal||Computers & Graphics, Elsevier|
|Keywords||Mesh partitioning, Optimization matching, Shape retrieval|
In this paper, we present a new approach for generic 3D shape retrieval based on a mesh partitioning scheme. Our method combines a mesh global description and mesh partition descriptions to represent a 3D shape. The partitioning is useful because it helps us to extract additional information in a more local sense. Thus, part descriptions can mitigate the semantic gap imposed by global description methods. We propose to ﬁnd spatial agglomerations of local features to generate mesh partitions. Hence, the deﬁnition of a distance function is stated as an optimization problem to ﬁnd the best match between two shape representations. We show that mesh partitions are representative and therefore it helps to improve the effectiveness in retrieval tasks. We present exhaustive experimentation using the SHREC'09 Generic Shape Retrieval Benchmark.