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3D models that are widely used nowadays are mostly represented by meshes or point clouds. These models are appearing in many fields like computer vision, informatics, engineering, as well as medicine. In this paper, we aim to find a superior one-to-one ...

In this paper, we present a new approach for shape representation and retrieval based on histograms. In the drawback of the proposed histograms descriptor, we consider the concept of curves points. This integration in the proposed histogram-based approach ...

Regarding shape matching, we present a novel method of determining a correspondence between shapes that is applicable to existing local descriptors and somewhat enhances them. In our method, we determine the correspondence of a focusing point of a shape,...

Assembly-based tools provide a powerful modeling paradigm for non-expert shape designers. However, choosing a component from a large shape repository and aligning it to a partial assembly can become a daunting task. In this paper we describe novel ...

We present O-CNN, an Octree-based Convolutional Neural Network (CNN) for 3D shape analysis. Built upon the octree representation of 3D shapes, our method takes the average normal vectors of a 3D model sampled in the finest leaf octants as input and ...

In this paper we describe our SMULGRAS platform for smart multicodal graphics search, which aims at fusing web-based content creation tools and content-based search interfaces. Our framework provides an easy to use web frontend that integrates a 3D ...

In conventional 3D shape retrieval and classification, they both need to compute the similarity between the input shapes and candidate or training 3D shapes. As for 3D shape classification, it essentially computes the distance between the query shapes ...

With the advent of new technology in 3D reconstruction and capturing, the number of 3D shapes is growing rapidly. We already have enormous images, thus it is very meaningful to retrieve 3D shapes using images as the queries. This problem can be solved ...

View-based 3D shape retrieval is a popular branch in 3D shape analysis owing to the high discriminative property of 2D views. However, many previous works do not scale up to large 3D shape databases. We propose a two layer coding (TLC) framework to ...

Shape retrieval is an important problem in computer vision. We proposed new shape based retrieval method. In our method, we used shape context and inner distance shape context methods for shape representation. Earth mover distance is used to find the ...

We introduce a contextual descriptor which aims to provide a geometric description of the functionality of a 3D object in the context of a given scene. Differently from previous works, we do not regard functionality as an abstract label or represent it ...

In this work, a descriptor called a ZIBO (absolute Zernike moments with Invariant Boundary Orientation) that describes the shape of objects using the module of Zernike moments and the edge features obtained from an almost rotational invariant version of ...

Shape descriptor plays very important role in shape retrieval system especially in the case of input shapes are drawn by hand. A good descriptor should be not only deformation tolerant but also compact and less memory consuming. With this in mind, we ...

Nonrigid or deformable 3D objects are common in many application domains. Retrieval of such objects in large databases based on shape similarity is still a challenging problem. In this paper, we first analyze the advantages of functional operators, and ...

Cyclic Dynamic Time Warping (CDTW) is a good dissimilarity of shape descriptors of high dimensionality based on contours, but it is computationally expensive. For this reason, to perform recognition tasks, a method to reduce the number of comparisons ...

The Curvature Scale-Space (CSS) technique has been selected in MPEG-7 for shape similarity retrieval. While the technique is invariant to shape transformations with respect to four parameters namely zoom, rotation and translation (which needs two ...

Shape retrieval is to find shapes in a database similar to the query one. For this purpose two components are usually needed, shape representation and shape matching. In this paper, a new shape retrieval algorithm based on the curvature scale-space (CSS)...

One of the major goals of computer vision is the development of flexible and efficient methods for shape representation. This paper proposes an approach for shape matching and retrieval based on scale-invariant heat kernel (HK). The approach uses a novel ...

We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that are related to an existing data base of objects. The sketches turn out to ...

One of the major goals of computer vision and machine intelligence is the development of flexible and efficient methods for shape representation. This paper presents an approach for shape retrieval based on sparse representation of scale-invariant heat ...