scholarly journals A New Partial 3D Object Indexing and Retrieval Approach Combining 2D slices and Apriori Algorithm

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
I.O. Taybi ◽  
T. Gadi ◽  
R. Alaoui
Keyword(s):  
Apriori Algorithm ◽  
3D Object ◽  
Indexing And Retrieval ◽  
Object Indexing

scholarly journals A NEW APPROACH TO SHAPE-BASED IMAGE RETRIEVAL

2014 ◽  
pp. 99-106
Author(s):  
Mehdi Chehel Amirani ◽  
Zahra Sadeghi Gol ◽  
Ali Asghar Beheshti Shirazi
Keyword(s):  
Image Retrieval ◽  
Curvature Function ◽  
Feature Points ◽  
Retrieval Performance ◽  
New Approach ◽  
Large Databases ◽  
Indexing And Retrieval ◽  
Active Research ◽  
Low Dimensional ◽  
Object Indexing

Content-based image retrieval (CBIR) is very active research topic in recent years. This paper introduces a new approach to shape-based image retrieval. At first, feature points are determined at the boundary of the shape as the extremums of a new version of the curvature function and the initial features are calculated at these points. The proposed method utilizes a supervised system for nonlinear combination of initial features for extraction of efficient and low dimensional feature vector for each shape. The retrieval performance of the approach is illustrated using the MPEG-7 shape database. Our experiments show that the proposed method is well suited for object indexing and retrieval in large databases.

LS3D

2015 ◽  
Vol 6 (2) ◽  
pp. 18-36
Author(s):  
Pedro B. Pascoal ◽  
Daniel Mendes ◽  
Diogo Henriques ◽  
Isabel Trancoso ◽  
Alfredo Ferreira
Keyword(s):  
Low Cost ◽  
Commercial Application ◽  
3D Object Retrieval ◽  
Object Retrieval ◽  
3D Object ◽  
Speech Interface ◽  
Indexing And Retrieval ◽  
Digital Objects ◽  
Natural Interactions ◽  
Traditional Approaches

The number of available 3D digital objects has been increasing considerably. As such, searching in large collections has been subject of vast research. However, the main focus has been on algorithms and techniques for classification, indexing and retrieval. While some works have been done on query interfaces and results visualization, they do not explore natural interactions. The authors propose a speech interface for 3D object retrieval in immersive virtual environments. As a proof of concept, they developed the LS3D prototype, using the context of LEGO blocks to understand how people naturally describe such objects. Through a preliminary study, it was found that participants mainly resorted to verbal descriptions. Considering these descriptions and using a low cost visualization device, the authors developed their solution. They compared it with a commercial application through a user evaluation. Results suggest that LS3D can outperform its contestant, and ensures better performance and results perception than traditional approaches for 3D object retrieval.

3D object indexing and recognition

2008 ◽  
Vol 196 (1) ◽  
pp. 318-332 ◽  
Author(s):  
Saliha Aouat ◽  
Nacéra Laiche ◽  
Feryel Souami ◽  
Slimane Larabi
Keyword(s):  
3D Object ◽  
Object Indexing
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