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VIDEO OQIMDAGI VAQTINCHALIK KADRLAR ORASIDAGI OPTIK OQIM VA CHUQURLIKNI BAHOLASH ASOSIDA DINAMIK MUHITDA MEROS OBYEKTLARINING 3D MODELINI REAL VAQTDA YANGILASH

Jild 5 son 24 (2026): Zamonaviy dunyoda ilm-fan va texnologiya 56-59

2026-08-31 Maqolalar CC BY 4.0 Open Access

Mualliflar

  • Qosimova Mohiraxon Botirali qizi Farg’ona viloyati Beshariq tumani 50-umumiy o’rta ta’lim maktabi matematika fani o’qituvchisi

Annotatsiya

Tarixiy-madaniy meros obyektlarini raqamlashtirish sohasida so‘nggi yillarda statik fotogrammetrik usullardan dinamik va interfaol usullarga o‘tish kuzatilmoqda. Agar an’anaviy SfM (Structure-from-Motion) va MVS (Multi-View Stereo) usullari obyekt atrofida to‘plangan fotosuratlar to‘plamini qayta ishlashga asoslangan bo‘lsa, zamonaviy tendensiyalar – video oqimlarni real vaqtda qayta ishlash va modelni doimiy yangilab borishga qaratilmoqda. Buning bir qancha sabablari bor: birinchidan, ko‘plab meros obyektlari sayyohlar, restavratsiya ishlari, yorug‘lik sharoitlarining o‘zgarishi kabi dinamik omillar ta’sirida doimiy o‘zgarib turadi; ikkinchidan, statik usullar yangi ma’lumotlar kelganda butun modelni qayta hisoblashni talab qiladi, bu esa vaqt va hisoblash resurslari jihatidan samarasizdir.

Iqtiboslar

Schönberger, J. L., & Frahm, J. M. (2016). Structure-from-Motion revisited. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4104-4113

Newcombe, R. A., et al. (2011). KinectFusion: Real-time dense surface mapping and tracking. IEEE International Symposium on Mixed and Augmented Reality, 127-136.

Teed, Z., & Deng, J. (2020). RAFT: Recurrent all-pairs field transforms for optical flow. European Conference on Computer Vision, 402-419.

Godard, C., Mac Aodha, O., & Brostow, G. J. (2017). Unsupervised monocular depth estimation with left-right consistency. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 270-279.

Zhou, T., Brown, M., Snavely, N., & Lowe, D. G. (2017). Unsupervised learning of depth and ego-motion from video. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1851-1860.

Kersten, T. P., & Lindstaedt, M. (2018). Integration of 3D laser scanning and photogrammetry for cultural heritage documentation. Journal of Cultural Heritage, 30, 146-153.

Yuklab olishlar

Nashr qilingan

2026-08-31

Iqtibos keltirish tartibi

Qosimova, M. (2026). VIDEO OQIMDAGI VAQTINCHALIK KADRLAR ORASIDAGI OPTIK OQIM VA CHUQURLIKNI BAHOLASH ASOSIDA DINAMIK MUHITDA MEROS OBYEKTLARINING 3D MODELINI REAL VAQTDA YANGILASH. Zamonaviy Dunyoda Ilm-Fan Va Texnologiya, 5(24), 56-59. https://www.in-academy.uz/index.php/ZDIFT/article/view/56755
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