Next Article in Journal
From Neuroimaging to Computational Modeling of Burnout: The Traditional versus the Fuzzy Approach—A Review
Previous Article in Journal
Estimating Calorific Value of Coal Using Laser-Induced Breakdown Spectroscopy through Statistical Algorithms: Correlation Analysis, Partial Least Squares, and Signal-to-Noise Ratio
Previous Article in Special Issue
Minimizing Maximum Feature Space Deviation for Visible-Infrared Person Re-Identification
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Applied Sciences
Volume 12
Issue 22
10.3390/app122211523
applsci-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

3D Model Retrieval Algorithm Based on DSP-SIFT Descriptor and Codebook Combination

by
Yuefan Hu
1,
Haoxuan Zhang
2,
Jing Gao
3,* and
Nan Li
2
1
Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China
2
School of Computer Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
3
Information Network Center, Beijing Technology and Business University, Beijing 100048, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(22), 11523; https://doi.org/10.3390/app122211523
Submission received: 9 October 2022 / Revised: 7 November 2022 / Accepted: 10 November 2022 / Published: 13 November 2022
(This article belongs to the Special Issue Recent Applications of Computer Vision for Automation and Robotics)
Browse Figures
Review Reports Versions Notes

Abstract

Recently, extensive research efforts have been dedicated to view-based 3D object retrieval, owing to its advantage of using a set of 2D images to represent 3D objects. Some existing image processing technologies can be employed. In this paper, we adopt Bag-of-Words for view-based 3D object retrieval. Instead of SIFT, DSP-SIFT is extracted from all images as object features. Moreover, two codebooks of the same size are generated by approximate k-means. Then, we combine two codebooks to correct the quantization artifacts and improve recall. Bayes merging is applied to address the codebook correlation (overlapping among different vocabularies) and to provide the benefit of high recall. Moreover, Approximate Nearest Neighbor (ANN) is used to quantization. Experimental results on ETH-80 datasets show that our method improves the performance significantly compared with the state-of-the-art approaches.
Keywords: view-based 3D model retrieval; Bag-of-Words; codebook combination; Bayes merging view-based 3D model retrieval; Bag-of-Words; codebook combination; Bayes merging

Share and Cite

MDPI and ACS Style

Hu, Y.; Zhang, H.; Gao, J.; Li, N. 3D Model Retrieval Algorithm Based on DSP-SIFT Descriptor and Codebook Combination. Appl. Sci. 2022, 12, 11523. https://doi.org/10.3390/app122211523

AMA Style

Hu Y, Zhang H, Gao J, Li N. 3D Model Retrieval Algorithm Based on DSP-SIFT Descriptor and Codebook Combination. Applied Sciences. 2022; 12(22):11523. https://doi.org/10.3390/app122211523

Chicago/Turabian Style

Hu, Yuefan, Haoxuan Zhang, Jing Gao, and Nan Li. 2022. "3D Model Retrieval Algorithm Based on DSP-SIFT Descriptor and Codebook Combination" Applied Sciences 12, no. 22: 11523. https://doi.org/10.3390/app122211523

APA Style

Hu, Y., Zhang, H., Gao, J., & Li, N. (2022). 3D Model Retrieval Algorithm Based on DSP-SIFT Descriptor and Codebook Combination. Applied Sciences, 12(22), 11523. https://doi.org/10.3390/app122211523

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop