Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

The explosively increasing 3-D objects make their efficient retrieval technology highly
desired. Extensive research efforts have been dedicated to view-based 3-D object retrieval …

We present a method for supervised learning of shape descriptors for shape retrieval
applications. Many content‐based shape retrieval approaches follow the bag‐of‐features …

In this paper, we propose a view-based 3D model retrieval algorithm, where many-to-many
matching method, weighted bipartite graph matching, is employed for comparison between …

Conventional linear subspace learning methods like principal component analysis (PCA),
linear discriminant analysis (LDA) derive subspaces from the whole data set. These …

The effectiveness of 3D model recognition generally depends on the feature representations
and classification methods. Previous algorithms have not shown good capacities to detect …

View-based 3D model retrieval uses a set of views to represent each object. Discovering the
complex relationship between multiple views remains challenging in 3D object retrieval …

In topic modeling framework, many Dirichlet-based models performances have been
hindered by the limitations of the conjugate prior. It led to models with more flexible priors …

We propose in this article a new 3D shape classification and retrieval method, based on a
supervised selection of the most significant features in a space of attributed extended Reeb …

With broader availability of large-scale 3D model repositories, the need for efficient and
effective exploration becomes more and more urgent. Existing model retrieval techniques do …