A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
SMI '04 Proceedings of the Shape Modeling International 2004
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Content-Based 3D Object Retrieval
IEEE Computer Graphics and Applications
A benchmark for 3D mesh segmentation
ACM SIGGRAPH 2009 papers
Sketch-based 3D model retrieval using diffusion tensor fields of suggestive contours
Proceedings of the international conference on Multimedia
Shape google: Geometric words and expressions for invariant shape retrieval
ACM Transactions on Graphics (TOG)
On nonmetric similarity search problems in complex domains
ACM Computing Surveys (CSUR)
Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes
The Visual Computer: International Journal of Computer Graphics - Special Issue on 3DOR 2010
SHREC'09 track: generic shape retrieval
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
Evaluation of 3D interest point detection techniques
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
SHREC'11 track: generic shape retrieval
EG 3DOR'11 Proceedings of the 4th Eurographics conference on 3D Object Retrieval
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3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-based approach to date has seen a lot of research attention, with many different extraction algorithms proposed. In previous work, we have introduced a simple but effective scheme for 3D model retrieval based on a spatially fixed combination of 3D object fragment descriptors. In this work, we propose a novel flexible combination scheme based on finding the best matching fragment descriptors to use in the combination. By an exhaustive experimental evaluation on established benchmark data we show the capability of the new combination scheme to provide improved retrieval effectiveness. The method is proposed as a versatile and inexpensive method to enhance the effectiveness of a given global 3D descriptor approach.