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

التفاصيل البيبلوغرافية
العنوان: 3D Model Retrieval Algorithm Based on DSP-SIFT Descriptor and Codebook Combination
المؤلفون: Yuefan Hu, Haoxuan Zhang, Jing Gao, Nan Li
المصدر: Applied Sciences, Vol 12, Iss 11523, p 11523 (2022)
بيانات النشر: MDPI AG
سنة النشر: 2022
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: view-based 3D model retrieval, Bag-of-Words, codebook combination, Bayes merging, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/12/22/11523; https://doaj.org/toc/2076-3417; https://doaj.org/article/a3988cfacf1b4eac8a378eb1a2298bc4
DOI: 10.3390/app122211523
الاتاحة: https://doi.org/10.3390/app122211523
https://doaj.org/article/a3988cfacf1b4eac8a378eb1a2298bc4
رقم الانضمام: edsbas.2970E306
قاعدة البيانات: BASE
الوصف
تدمد:20763417
DOI:10.3390/app122211523