Graphical Models
Technical section: Second order 3D shape features: An exhaustive study
Computers and Graphics
3D Gaussian descriptor for 3D shape retrieval
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Grasp planning by alignment of pairwise shape descriptorss
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
International Journal of Computer Vision
From 2D silhouettes to 3D object retrieval: contributions and benchmarking
Journal on Image and Video Processing
Automatic upright orientation and good view recognition for 3D man-made models
Pattern Recognition
3D shape retrieval using bag-of-feature method basing on local codebooks
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
A novel 3D model retrieval approach using combined shape distribution
Multimedia Tools and Applications
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3D objects are an important type of multimedia data with many promising application possibilities. Defining the aspects that constitute the similarity among 3D objects, and designing algorithms that implement such similarity definitions is a difficult problem. Over the last few years, a strong interest in methods for feature-based 3D similarity search has arisen, and a growing number of competing algorithms for content-based retrieval of 3D objects have been proposed. We present an extensive experimental evaluation of the retrieval effectiveness and efficiency of a large part of the current state-of-the-art feature-based methods for 3D similarity search, giving a contrasting assessment of the different approaches.