Automatyczne przetwarzanie fotografii obiektów urbanistycznych dla potrzeb teksturowania

• Autorzy: Zwoliński G.
• Języki publikacji: PL

Abstrakty

EN

Recent years have seen a rapid increase in the interest of internet locators and gsm/gps. The idea of creating virtual cities is quite severely limited by the costs of obtaining a realistic texture of building facades. From the perspective of technical capabilities of modern graphics software, digital manipulation of captured material should not cause major problems but is extremely time-consuming and thus very expensive. This material presents a proposal to automate the process of obtaining the texture, so that directly after the photo session obtained material could be used for texturing the virtual buildings.

Słowa kluczowe

PL

wirtualne miasto; uzyskanie tekstury

EN

virtual city; texture obtaining

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2011
• Tom: nr 3
• Strony: 205--213
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Zwoliński G.

• Politechnika Łódzka, Instytut Mechatroniki i Systemów Informatycznych, Wyższa Szkoła Informatyki w Łodzi

Bibliografia

• [1] Zwoliński G., Mobilny rejestrator tekstur dla obiektów urbanistycznych pracujący w warunkach ścisłej zabudowy miejskiej, Studia Informatica. Zeszyty Naukowe Politechniki Śląskiej, seria INFORMATYKA Volume 31, Number 2B (90), 2010
• [2] Wu j., Zhou G., Ding F., Liu Z.: Automatic Retrieval of Optimal Texture from Aerial Video for Photo-realistic 3D Visualization of Street Environment. Fourth International Conference on Image and Graphics
• [3] Brenner C., Haala N., Fritsch D.: Towards fully automated 3D city model generation. Automatic Extraction of Man-Made Objects from Aerial and Space Images III, 2001.
• [4] Haala N., Kada M.: Panoramic Scenes for Texture Mapping of 3D City Models. Proceedings of the International Society for Photogrammetry and Remote Sensing (ISPRS) working group V/5 on Panoramic Photogrammetry Workshop, 2005, Vol. XXXVI-5/W8,
• [5] Lee S.C., Soon Ki J., Ram N.: Automatic integration of facade textures into 3D building models with a projective geometry based line clustering. Computer Graphics Forum, September, 2002, Vol. 21, No. 3, s. 511÷519.
• [6] Merrell P., Akbarzadeh A., Wang L., Mordohai P., Frahm J.M., Yang R.G., Nister D., Pollefeys M.: Real-time visibility-based fusion of depth maps. In International Conference on Computer Vision, 2007, s. 1÷8.
• [7] Poullis C., You S., Neumann U.: Rapid creation of large-scale photorealistic virtual environments. VR, IEEE, 2008, s. 153÷160.
• [8] Zhan S., Lu Y., Xuan Y., Zhang L.: Research and Implementation of 3D Modeling Algorithm Based on Image. 2009 International Conference on Signal Processing Systems.
• [9] Yu S., Wenhong W.: Text Localization and Detection for News Video. 2009 Second International Conference on Information and Computing Science.
• [10] Jihua C., Jing L.: A texture synthesis algorithm based on block matching. 2009 Second International Conference on Information and Computing Science.
• [11] Luoyan H.U., Kejing L.I.: Image Texture Recognition Based on Median Filtering and Hough Transform. 2009 International Conference on Industrial and Information Systems.
• [12] Kristof Seidl, Jens Knobbe, Hubert Lakner, Design für ein Zoomobjektiv mit deformierbaren Spiegeln, DGaO-Proceedings 2010
• [13] Piotr Podlasiak, Wyznaczanie parametrów dystorsji kamery na podstawie zdjęć naturalnych i korekcji zdjęć, Archiwum Fotogrametrii, Kartografii Teledetekcji, Vol. 14
• [14] Mohan S., Avinash N. and Murali.S, Rectification of Perspective distortion using camera parameters - A Perspective Geometry Based Approach, ICGST-GVIP Journal, ISSN: 1687-398X , Volume 8, Issue 1, June 2008
• [15] R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "A Hough Transform-Based Method for Radial Lens Distortion Correction," iciap, pp.182, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003.