We present a novel 3D shape descriptor that uses a set of panoramic views of a 3D object
which describe the position and orientation of the object's surface in 3D space. We obtain a …

This work offers an overview of the state-of-the-art on the emerging area of 3D object
retrieval based on partial queries. This research area is associated with several application …

We present a 3D shape retrieval methodology based on the theory of spherical harmonics.
Using properties of spherical harmonics, scaling and axial flipping invariance is achieved …

This paper presents a unified framework for 3D shape retrieval. The method supports
multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based …

Covering every aspect of the process, this book introduces the design, development,
manufacturing, and marketing of footwear. It also presents a comprehensive discussion of …

This paper proposes an innovative gait identification and authentication method based on
the use of novel 2-D and 3-D features. Depth-related data are assigned to the binary image …

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

This paper proposes to generate and to use barcodes to annotate medical images and/or
their regions of interest such as organs, tumors and tissue types. A multitude of efficient …

Feature engineering plays an important role in object understanding. Expressive
discriminative features can guarantee the success of object understanding tasks. With …

In this paper, the novel 3D shape impact descriptor is introduced, which is based on the
resulting gravitational phenomena in the surrounding area of every 3D object. The 3D object …