Similar articles

Abstract: We present a method of 3D image mosaicing for real 3D representation of roadside buildings, and implement a Web-based interactive visualization environment for the 3D video mosaics created by 3D image mosaicing. The 3D image mosaicing technique developed in our previous work is a very powerful method for creating textured 3D-GIS data without excessive data processing like the laser or stereo system. For the Web-based open access to the 3D video mosaics, we build an interactive visualization environment using X3D, the emerging standard of web 3D. We conduct the data preprocessing for 3D video mosaics and the X3D modeling for textured 3D data. The data preprocessing includes the conversion of each frame of 3D video mosaics into concatenated image files that can be hyperlinked on the Web. The X3D modeling handles the representation of concatenated images using necessary X3D nodes. By employing X3D as the data format for 3D image mosaics, the real 3D representation of roadside buildings is extended to the Web and mobile service systems.

[1] Bilasco, I.M., Gensel, J., Villanova-Oliver, M., Martin, H., 2005. 3DSEAM: A Model for Annotating 3D Scenes using MPEG-7. Proceedings of the 7th IEEE International Symposium on Multimedia, p.310-319.

[2] Canny, J., 1986. A computational approach to edge detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6):679-698.

[3] Chen, S.E., 1995. Quicktime VR—An Image-based Approach to Virtual Environment Navigation. Proceedings of ACM SIGGRAPH’95, p.29-38.

[4] Chon, J., Fuse, T., Shimizu, E., 2004. Urban visualization through video mosaics based on 3D multi-baselines, the International Archives of the Photogrammetry. Remote Sensing and Spatial Information Science, 35(B3):727-731.

[5] Chou, J.S., Qian, J., Wu, Z., Schramm, H., 1997. Automatic Mosaic and Display from a Sequence of Peripheral Angiographic Images. Proceedings of SPIE Medical Imaging, 3034:1077-1087.

[6] Coorg, S., Teller, S., 2000. Spherical mosaics with quaternions and dense correlation. International Journal of Computer Vision, 37(3):259-273.

[7] Farrimond, B., Hetherington, R., 2005. Compiling 3D Models of European Heritage from User Domain XML. Proceedings of the 9th International Conference on Information Visualisation, p.163-171.

[8] Fruh, C., Zakhor, A., 2002. Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images. Proceedings of International Symposium on 3D Data Processing, Visualization, and Transmission, p.834-847.

[9] Gelautz, M., Brandejski, M., Kilzer, F., Amelung, F., 2004. Web-based Visualization and Animation of Geospatial Data using X3D. Proceedings of 2004 IEEE International Geoscience and Remote Sensing Symposium, 7:4773-4775.

[10] Han, J.H., Park, J.S., 2000. Contour matching using epipolar geometry. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(4):358-370.

[11] Hartly, R., Zisserman, A., 2000. Multiple View Geometry in Computer Vision. Cambridge University Press.

[12] Jiang, B., You, S., Neumann, U., 2004. A Robust Tracking System for Outdoor Augmented Reality. Proceedings of IEEE Virtual Reality 2004, p.3-10.

[13] Krishnan, A., Ahuja, N., 1996. Panoramic Image Acquisition. Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition 1996, p.379-384.

[14] Mann, S., Picard, R., 1994. Virtual Bellows: Constructing High Quality Stills from Video. Proceedings of the 1st IEEE International Conference on Image Processing, 1:363-367.

[15] McMillan, L., Bishop, G., 1995. Plenoptic Modelling: An Image Based Rendering System. Proceedings of ACM SIGGRAPH’95, p.39-46.

[16] Mikhail, E.M., Bethel, J.S., McGlone, J.C., 2001. Introduction to Modern Photogrammetry. John Wiley & Sons.

[17] Peleg, S., Rousso, B., Rav-Acha, A., Zomet, A., 2000. Mosaicing on adaptive manifolds. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(10):1144-1154.

[18] Pollefeys, M., Koch, R., Vergauwen, M., van Gool, L., 2000. Automated reconstruction of 3D scenes from sequences of images. ISPRS Journal of Photogrammetry and Remote Sensing, 55(4):251-267.

[19] Roman, A., Garg, G., Levoy, M., 2004. Interactive Design of Multi-perspective Images for Visualizing Urban Landscapes. Proceedings of IEEE Visualization 2004.

[20] Rousseeuw, P.J., 1984. Least median of squares regression. Journal of American Statistical Association, 79(388):871-880.

[21] Shum, H.Y., Szeliski, R., 2000. Construction of panoramic image mosaics with global and local alignment. International Journal of Computer Vision, 36(2):101-130.

[22] Szeliski, R., 1996. Video mosaic for virtual environments. IEEE Computer Graphics and Applications, 16(2):22-30.

[23] Tsai, J.F., Kouh, J.S., Chen, L., 2004. Constructing the Simulation Examples for the Courses of Dynamics and Fluid Mechanics by X3D. Proceedings of MTS/IEEE TECHNO-OCEAN’04, 1:573-577.

[24] Ying, J., Gracanin, D., Lu, C.T., 2004. Web Visualization of Geo-spatial Data using SVG and VRML/X3D. Proceedings of the 3rd International Conference on Image and Graphics, p.497-500.

[25] Zhao, H., Shibasaki, R., 2003. A vehicle-borne urban 3D acquisition system using single-row laser range scanners. IEEE Trans. on SMC Part B: Cybernetics, 33(4):658-666.

[26] Zheng, J.Y., Tsuji, S., 1992. Panoramic representation for route recognition by a mobile robot. International Journal of Computer Vision, 9(1):55-76.

[27] Zheng, Z., Wang, X., 1992. A general solution of a closed-form space resection. Photogrammetric Engineering & Remote Sensing Journal, 58(3):327-338.

[28] Zhu, Z., Hanson, A.R., Riseman, E.M., 2004. Generalized parallel-perspective stereo mosaics from airborne video. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(2):226-237.

[29] Zomet, A., Peleg, S., Arora, C., 2000. Rectified Mosaicing: Mosaics without the Curl. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, II:459-465.

[30] Zomet, A., Feldman, D., Peleg, S., Weinshall, D., 2003. Mosaicing new views: the crossed-slits projection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(6):741-754.