Abstract
Image mosaic technology can obtain images with ultra-wide viewing angles without reducing the resolution. With the increasing demand of panoramic images, image mosaic technology has become the focus of computer vision research. This paper studies the image mosaic technology based on Harris corner feature. The extraction and description process of corner features and the process of image mosaic by calculating homography matrix are introduced in detail. Finally, the experiment is carried out on the existing data set and the actual shot data, and the experimental results can directly observe the process of scene splicing under different perspectives. The experimental results show that it has a good application effect in actual images, but in the case of great changes in the scene perspective, that is, to complete the mosaic of more than ten images, it is necessary to introduce the technology of boundary fusion.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Brown, M., Szeliski, R., Winder, S.: Multi-image matching using multi-scale oriented patches. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, CVPR 2005, vol. 1, pp. 510–551. IEEE, 2005
Zhang, F., Liu, F.: Parallax-tolerant image stitching. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2014)
Liebelt, J., Schmid, C.: Multi-view object class detection with a 3d geometric model. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1688–1695. IEEE (2010)
Perrotton, X., Sturzel, M., Roux, M.: Implicit hierarchical boosting for multi-view object detection. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 958–965. IEEE (2010)
Magri, L., Fusiello, A.: Robust multiple model fitting with preference analysis and low-rank approximation. In: Proceedings of the British Machine Vision Conference, F (2015)
Patel, M.S.: Feature based multi-view image registration using SURF. In: International Symposium on Advanced Computing and Communication (2015)
Zhang, F., Liu, F.: Parallax-tolerant image stitching. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 958–965. IEEE (2014)
Chojnacki, W., Szpak, Z.L., Brooks, M.J., et al.: Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Mach. Vis. Appl. 26(2–3), 401–422 (2015)
Szpak, Z.L., Chojnacki, W., Eriksson, A., et al.: Sampson distance based joint estimation of multiple homographies with uncalibrated cameras ☆. Comput. Vis. Image Underst. 125(8), 200–213 (2014)
Harris C.: A Combined corner and edge detector. In: Proceedings of the Alvey Vision Conference, F (1988)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Liu, X., Wu, S., Wang, D. (2022). Image Mosaic Technology Based on Harris Corner Feature. In: Liu, Q., Liu, X., Chen, B., Zhang, Y., Peng, J. (eds) Proceedings of the 11th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-16-6554-7_12
Download citation
DOI: https://doi.org/10.1007/978-981-16-6554-7_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6553-0
Online ISBN: 978-981-16-6554-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)