We address content-based retrieval of complete 3D object models by a probabilistic
generative description of local shape properties. The proposed shape description framework …

3D shape retrieval is becoming an acute issue for numerous applications that span from
CAD to serious games to biomedicine and all contexts where it is fundamental to …

3D models are increasing greatly, and have been used in different fields. The need of
retrieving 3D models is constantly emerging. Especially, how to reduce thesemantic …

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 …

In this work, we present a learning framework to help early diagnosis of Alzheimer's disease
(AD) from magnetic resonance images using visual similarity and user feedback. Our …

We introduce a similarity learning scheme to improve the 3D object retrieval performance in
a relevance feedback setting. The proposed algorithm relies on a score fusion approach that …

Although there is a wide range of shape descriptors available in the literature, most of them
are restricted to a specific class of shapes and no one can achieve satisfactory shape …

The computer vision and pattern recognition communities have recently witnessed a surge
in feature-based methods for numerous applications including object recognition and image …

The majority of shape matching and retrieval methods use only one single shape descriptor.
Unfortunately, no shape descriptor is sufficient to provide suitable results for all kinds of …

Effective content-based retrieval in 3D model databases is an important problem that has
attracted much research attention over the last years. Many individual methods proposed to …