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OpenAlex konusu

3D Surveying and Cultural Heritage

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 2.990 eser 350 yazar konusu

Çalışmalar

2.990 eser

  1. OpenAlex üst %1 OpenAlex 100.0%

    Large repositories of 3D shapes provide valuable input for data-driven analysis and modeling tools. They are especially powerful once annotated with semantic information such as salient regions and functional parts. We propose a novel active learning method capable of enriching massive geometric datasets with accurate…

  2. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.9%

    Facilities management (FM) encompasses and requires multidisciplinary activities, and thus has extensive information requirements. While some of these needs are addressed by several existing FM information systems, building information modeling (BIM), which is becoming widely adopted by the construction industry, hold…

  3. OpenAlex üst %1 OpenAlex 100.0%

    Özet henüz yok.

  4. YÖKSİS SJR Q1 JCR Q4 OpenAlex üst %1 OpenAlex 99.6%

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  5. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  6. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  7. YÖKSİS SJR Q1 JCR Q4 OpenAlex üst %10 OpenAlex 98.3%

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  8. YÖKSİS SJR Q1 JCR Q4 OpenAlex üst %10 OpenAlex 98.3%

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  9. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

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  10. Reconstructing 3D shapes from single-view images has been a long-standing\nresearch problem. In this paper, we present DISN, a Deep Implicit Surface\nNetwork which can generate a high-quality detail-rich 3D mesh from an 2D image\nby predicting the underlying signed distance fields. In addition to utilizing\nglobal ima…

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.3%

    Özet henüz yok.

  12. OpenAlex üst %1 OpenAlex 99.4%

    Current vision-based displacement measurement methods have limitations such as being in need of manual targets and parameter adjustment, and significant user involvement to reach the desired result. This study proposes a novel structural displacement measurement method using deep learning-based full field optical flow…

Akademisyenler

350 akademisyen