Add to ORKGBy applying multi-view features of a 3D model as the whole feature descriptors to match the 3D model feature, this paper presents a modified 3D model retrieval algorithm which is based on the fusion of contour features and texture features of the model. After two-dimensional depth images of the 3D model are obtained under the different views of a spherical bounding box, the contour feature and the texture features of the model images are fused for realizing the constitute of the 3D model. The experiment results shown that the proposed method gains great improvement in retrieval speed and effective rate in comparison with other view-based 3D model retrieval methods
Abstract:- An effective approach for 3D model retrieval is to represent models by a set of projectio...
In this paper, we will propose a 3D model retrieval approach using 2D cepstral features. First, six ...
The advances in 3D data acquisition techniques, graphics hardware, and 3D data modeling and visualiz...
With the rapid development of computer vision, 3D data is increasing rapidly. How to retrieve simila...
Recently, 3D model retrieval based on views has become a research hotspot. In this method, 3D models...
With the increase in the number of available 3D models, the ability to accurately and efficiently se...
Most research on 3D model retrieval focus on shape as the main feature used for search and retrieval...
With the development of computer graphics and virtual realities, the demand for a content-based 3D m...
Recently, extensive research efforts have been dedicated to view-based 3D object retrieval, owing to...
AbstractThis paper proposes a viewing strategy for multi-view 3D model retrieval based on scale-inva...
International audienceThe majority of shape matching and retrieval methods use only one single shape...
The number of available 3D models in various areas increases steadily. Efficient methods to search f...
With the rapid development of 3D digital shape information, content-based 3D model retrieval has bec...
In this paper, we present a new feature descriptors which exploit voxels for 3D textured retrieval...
Fusing multiple features is a promising approach for accurate shape-based 3D Model Retrieval (3DMR)....
Abstract:- An effective approach for 3D model retrieval is to represent models by a set of projectio...
In this paper, we will propose a 3D model retrieval approach using 2D cepstral features. First, six ...
The advances in 3D data acquisition techniques, graphics hardware, and 3D data modeling and visualiz...
With the rapid development of computer vision, 3D data is increasing rapidly. How to retrieve simila...
Recently, 3D model retrieval based on views has become a research hotspot. In this method, 3D models...
With the increase in the number of available 3D models, the ability to accurately and efficiently se...
Most research on 3D model retrieval focus on shape as the main feature used for search and retrieval...
With the development of computer graphics and virtual realities, the demand for a content-based 3D m...
Recently, extensive research efforts have been dedicated to view-based 3D object retrieval, owing to...
AbstractThis paper proposes a viewing strategy for multi-view 3D model retrieval based on scale-inva...
International audienceThe majority of shape matching and retrieval methods use only one single shape...
The number of available 3D models in various areas increases steadily. Efficient methods to search f...
With the rapid development of 3D digital shape information, content-based 3D model retrieval has bec...
In this paper, we present a new feature descriptors which exploit voxels for 3D textured retrieval...
Fusing multiple features is a promising approach for accurate shape-based 3D Model Retrieval (3DMR)....
Abstract:- An effective approach for 3D model retrieval is to represent models by a set of projectio...
In this paper, we will propose a 3D model retrieval approach using 2D cepstral features. First, six ...
The advances in 3D data acquisition techniques, graphics hardware, and 3D data modeling and visualiz...