Abstract
This paper focuses on the image splicing algorithm based on SIFT to help teachers check in more quickly. Multiple images with different angles and overlapping areas monitored by the camera in classroom are selected for image splicing so as to solve the problem of limited view field of the camera lens. At the same time, spatial domain method is used to process the images. The result shows splicing degree is complete that can meet the application requirements of sign-in system with high precision and wide perspective.
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References
Dou JF, Qin Q, Tu ZM (2018) Robust image matching based on the information of SIFT. Optik 171(10):850–861
Reddy BS, Chatterji BN (1996) An FFT-based technique for translation, rotation, and scale-invariant image registration, vol 5, no 8. IEEE Press, New York, pp 1266–1271
Lombaert H, Grady L, Pennec X et al (2014) Spectral logdemons: diffeomorphic image registration with very large deformations. Int J Comput Vision 107(3):254–271
Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vision 60(2):91–110
Loowe D G (1999) Object recongnition from local scale-invariant features. In: Proceedings of the 7th IEEE international conference on computer vision 2:20–27
Yang Z-F, Yuan J-K, Huang Y-Y (2020) Indoor Panorama Splice Based on SIFT Algorithm. Autom Instrum 35(03):58–62+87
He H-Y, Han J (2020) Research on image mosaic technology based on SIFT algorithm. Autom Instrum 35(02):57–60+79
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Yan, F.L., Zhang, H.B., Changyun, Ge (2021). Research on Camera Sign-In System Based on SIFT Image Splicing Algorithm. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_117
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DOI: https://doi.org/10.1007/978-981-15-8411-4_117
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