The biological significance of proteins attracted the scientific community in exploring their
characteristics. The studies shed light on the interaction patterns and functions of proteins in …

Non-rigid 3D shape retrieval has become an active and important research topic in content-
based 3D object retrieval. The aim of this paper is to measure and compare the performance …

3-D shape analysis has attracted extensive research efforts in recent years, where the major
challenge lies in designing an effective high-level 3-D shape feature. In this paper, we …

This paper presents a 3D shape retrieval algorithm based on the Bag of Words (BoW)
paradigm. For a given 3D shape, the proposed approach considers a set of feature points …

Content-based shape retrieval techniques can facilitate 3D model resource reuse, 3D model
modeling, object recognition, and 3D content classification. Recently more and more …

The discriminability of the bag-of-words representations can be increased via encoding the
spatial relationship among virtual words on 3D shapes. However, this encoding task …

For 3D shape analysis, an effective and efficient feature is the key to popularize its
applications in 3D domain where the major challenge lies in designing an effective high …

Dictionaries are very useful objects for data analysis, as they enable a compact
representation of large sets of objects through the combination of atoms. Dictionary‐based …

Highly discriminative 3D shape representations can be formed by encoding the spatial
relationship among virtual words into the Bag of Words (BoW) method. To achieve this …

Non-rigid and partial 3D model retrieval are two significant and challenging research
directions in the field of 3D model retrieval. Little work has been done in proposing a hybrid …