Abstract
This work employs a fish-eye to scan cityscapes along a street and register scenes in a compact scene tunnel image. A fish-eye has complete field of view along a route. We mount the fish-eye camera on a vehicle and estimate its pose initially with respect to the vehicle by referring to 3D structure lines of such as roads and buildings on a street. Sampling curves are then allocated in the image frame for dynamic scanning route scenes as the vehicle moves forward. The accurate alignment of the curves ensures less distortion of shapes in the scene tunnel image. We also analyze the scanned results and evaluate alignments of the sampling curves to improve the scanning. The resulting scene tunnel is a continuous archive of the entire route in a city, which can be used for environment visualization and assessment, Internet based virtual navigation, city information indexing, etc.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Zheng, J.Y.: Route Panorama. IEEE Multimedia 10(3), 57–68 (2003)
Zheng, J.Y., Shi, M.: Mapping cityscapes into cyberspace for visualization. J. Computer Animation and Virtual Worlds 16(2), 97–107 (2005)
Zheng, J.Y., Tsuji, S.: Panoramic Representation for route recognition by a mobile robot. IJCV 9(1), 55–76 (1992)
Gupta, R., Hartley, R.: Linear pushbroom cameras. IEEE PAMI 19(9), 963–975 (1997)
Zheng, J.Y., Tsuji, S.: Generating dynamic projection images for scene representation and recognition. Computer Vision and Image Understanding 72(3), 237–256 (1998)
Zheng, J.Y., Zhou, Y., Shi, M.: Scene tunnels for seamless virtual tour. In: 12th ACM Multimedia, pp. 448–451 (2004)
Xiong, Y., Turkowski, K.: Creating image-based VR using a self-calibrating fisheye lens. In: IEEE CVPR, pp. 237–241 (1997)
Kannala, J., Brandt, S.: A General Camera Calibration Method for fish-eye lens. In: ICPR 2004, vol. 1, pp. 692–695 (2004)
Li, S., Nakano, M., Chiba, N.: Acquisition of spherical image by fish-eye conversion lens. In: IEEE VR 2004, pp. 235–236 (2004)
Peleg, S., Rousso, B., Rav-Acha, A., Zomet, A.: Mosaicing on adaptive manifolds. IEEE PAMI 22(10), 1144–1154 (2000)
Shi, M., Zheng, J.Y.: A slit scanning depth of route panorama based on stationary blur. In: IEEE CVPR 2005, vol. 1, pp. 1047–1054 (2005)
Zhu, Z., Hanson, A., Riseman, E.M.: Generalized parallel-perspective Stereo Mosaics from Airborne Video. IEEE PAMI 26(2), 226–237 (2004)
Bakstein, H., Bajdla, T.: Panoramic mosaicing with 180 field of view lens. In: Omnidirectional vision workshop, pp. 60–68 (2002)
Swaminathan, R., Nayar, S.K.: Nonmetric calibration of wide-angle lenses and polycameras. IEEE PAMI 22(10) (2000)
Li, S.: Estimating head orientation based on sky-ground representation. IEEE/RSJ Int. Conf. Intelligent Robots and Systems 2005 (2005)
Uyttendaele, M., et al.: Image-based interactive exploration of real-world environments. IEEE Computer Graphics and Applications 24(3) (2004)
Li, S., Hayashi, A.: Robot navigation in outdoor environments by using GPS information and panoramic views. In: IEEE/RSJ Conf. Intelligent Robots and Systems, pp. 570–575 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zheng, J.Y., Li, S. (2006). Employing a Fish-Eye for Scene Tunnel Scanning. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_52
Download citation
DOI: https://doi.org/10.1007/11612032_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31219-2
Online ISBN: 978-3-540-32433-1
eBook Packages: Computer ScienceComputer Science (R0)