Denser Feature Correspondences for 3D Reconstruction

• Item type: SIG Technical Reports(1)
• 公開日: 2016-05-05
• タイトル: Denser Feature Correspondences for 3D Reconstruction
• タイトル / 言語: en
• タイトル: Denser Feature Correspondences for 3D Reconstruction
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Engineering, Osaka Prefecture University
• 著者所属: Graduate School of Engineering, Osaka Prefecture University
• 著者所属: Graduate School of Engineering, Osaka Prefecture University
• 著者所属: Graduate School of Engineering, Osaka Prefecture University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Osaka Prefecture University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Osaka Prefecture University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Osaka Prefecture University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Osaka Prefecture University
• 著者名: Fairuz, Safwan,Mahad; Masakazu, Iwamura; Yuzuko, Utsumi; Koichi, Kise
• 著者名(英): Fairuz, Safwan Mahad; Masakazu, Iwamura; Yuzuko, Utsumi; Koichi, Kise
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The 3D reconstruction of an object is heavily dependent on the amount of texture on the surface of the object and the correspondences acquired between images from different viewpoints. Objects with lack of texture affects the reconstructed 3D model degrading its quality and completeness. This occurs due to the SIFTs and Harris's incapability of extracting sufficient features from regions with less texture thus resulting in a lack of correspondences in such regions. Gaps occurs in the reconstructed 3D model due to the lack of correspondences. The paper aims to obtain more correspondences through the implementation of convolution in conjunction with a set of randomized kernels. The use of randomized kernels changes the structure of the images in different ways allowing SIFT to extract features in less textured regions which could not be realized conventionally. Experimental results showed that the proposed method is able to fill up more gaps improving the completeness of the 3D model of less textured objects.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The 3D reconstruction of an object is heavily dependent on the amount of texture on the surface of the object and the correspondences acquired between images from different viewpoints. Objects with lack of texture affects the reconstructed 3D model degrading its quality and completeness. This occurs due to the SIFTs and Harris's incapability of extracting sufficient features from regions with less texture thus resulting in a lack of correspondences in such regions. Gaps occurs in the reconstructed 3D model due to the lack of correspondences. The paper aims to obtain more correspondences through the implementation of convolution in conjunction with a set of randomized kernels. The use of randomized kernels changes the structure of the images in different ways allowing SIFT to extract features in less textured regions which could not be realized conventionally. Experimental results showed that the proposed method is able to fill up more gaps improving the completeness of the 3D model of less textured objects.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11131797
• 書誌情報: 研究報告コンピュータビジョンとイメージメディア（CVIM）; 巻 2016-CVIM-202, 号 3, p. 1-5, 発行日 2016-05-05
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8701
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会