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

In this paper, we present an extensive study of 3-D face recognition algorithms and examine
the benefits of various score-, rank-, and decision-level fusion rules. We investigate face …

This paper presents a new method for 3D shape retrieval based on the bags-of-words model
along with a weak spatial constraint. First, a two-pass sampling procedure is performed to …

In this paper we present the results of the SHREC'09-Generic Shape Retrieval Contest. The
aim of this track was to evaluate the performances of various 3D shape retrieval algorithms …

In this work, we introduce a score fusion scheme to improve the 3D object retrieval
performance. The state of the art in 3D object retrieval shows that no single descriptor is …

We address the 3D object retrieval problem using multivariate density-based shape
descriptors. Considering the fusion of first and second order local surface information, we …

This paper proposes a new 3D shape retrieval approach based on diffusion wavelets which
generalize wavelet analysis and associated signal processing techniques to functions on …

Many existing designs can be reused to facilitate future developments. However, CAD
model reuse is not effectively supported by conventional geometry-based retrieval methods …

In this paper, a 3D model retrieval approach based on the combination of different PCA
plane projection approaches will be proposed. First, each 3D model is aligned by the …

In statistical shape analysis, subspace methods such as PCA, ICA and NMF are
commonplace, whereas they have not been adequately investigated for indexing and …