Multi-frame super-resolution reconstruction based on global motion estimation using a novel CNN descriptor

Hong-xia GAO; Wang XIE; Hui KANG; Guo-yuan LIN

doi:10.1007/s11801-019-8208-0

[1] Hyde R. Eyeglass, SPIE 4849, 28 (2002).

[2] Bay H., Ess A., Tuytelaars T. and Van Gool L., Computer Vision and image Understanding 110, 346 (2008).

[3] Brown M., Hua G. and Winder S., IEEE Transactions on Pattern Analysis and Machine Intelligence 33, 43 (2010).

[4] Trzcinski T., Christoudias M. and Lepetit V., IEEE Transactions on Pattern Analysis and Machine Intelligence 37, 597 (2015).

[5] Trzcinski T., Christoudias M., Fua P. and Lepetit, V., Boosting Binary Key-Point Descriptors, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2874 (2013).

[6] Russakovsky O., Deng J., Su H., Krause J., Satheesh S., Ma S., Huang Z., Karpathy A., Khosla A., Bernstein M., Berg A. and Fei-Fei L., International Journal Of Computer Vision 115, 211 (2015).

[7] Fischer P., Dosovitskiy A. and Brox T., Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT, arXiv:1405.5769, 2014.

[8] Simo-Serra E., Trulls E., Ferraz L., Kokkinos I., Fua P. and Moreno-Noguer F., Discriminative Learning of Deep Convolutional Feature Point Descriptors, IEEE International Conference on Computer Vision, 118 (2015).

[9] Han X., Leung T., Jia Y., Sukthankar R. and Berg A., Matchnet: Unifying Feature and Metric Learning for Patch-Based Matching, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3279 (2015).

[10] Yi K., Trulls E., Lepetit V. and Fua P., LIFT: Learned Invariant Feature Transform, European Conference Computer Vision, 467 (2016).

[11] Tian Y., Fan B., Wu F., L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 6128 (2017).

[12] Chen M., Wang C. and Qin H., Computer Aided Geometric Design 62, 192 (2018).

[13] Brown L., ACM Computing Surveys 24, 325 (1992).

[14] Zitova B. and Flusser J., Image and Vision Computing 21, 977 (2003).

[15] Lucas B. and Kanade T., An Iterative Image Registration Technique with an Application to Stereo Vision, The 7th International Joint Conference on Artificial Intelligence, 674 (1981).

[16] Harris C. and Stephens M., A Combined Corner and Edge Detector, The 4th Alvey Vision Conference, 10 (1988).

[17] Lowe D., International Journal of Computer Vision 60, 91 (2004).

[18] Keren D., Peleg S. and Brada R., Image Sequence Enhancement Using Subpixel Displacements. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 742 (1988).

[19] Irani M. and Peleg S., CVGIP: Graphical Models & Image Processing 53, 231 (1991).

[20] Schultz R. and Stevenson R., IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society 5, 996 (1996).

[21] Baker S. and Kanade T., IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 1167 (2002).

[22] Liao R., Tao X., Li, R., Video Super-Resolution via Deep Draft-Ensemble Learning, IEEE International Conference on Computer Vision, 531 (2015).

[23] Kappeler A., Yoo S., Dai Q. and Katsaggelos A., IEEE Transactions on Computational Imaging 2, 109 (2016).

[24] Caballero J., Ledig C., Aitken A., Acosta A., Totz J., Wang Z. and Shi W, Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation, IEEE Computer Vision and Pattern Recognition, 2848 (2017).

[25] Tao X., Gao H., Liao R., Wang J. and Jia J., Detail- Revealing Deep Video Super-Resolution, IEEE International Conference on Computer Vision, 4482 (2017).

[26] Ren S., He K., Girshick R. and Sun J., IEEE Transactions on Pattern Analysis and Machine Intelligence 39, 1137 (2017).

[27] Fischler M. and Bolles R., Communications of the ACM 24, 381 (1981).

[28] Verdie Y., Yi K., Fua P. and Lepetit V., TILDE: A Temporally Invariant Learned Detector, IEEE Conference on Computer Vision and Pattern Recognition, 5279 (2015).

[29] Strecha C., Hansen W., Van Gool L., Fua P. and Thoennessen, U., On Benchmarking Camera Calibration and Multi-View Stereo for High Resolution Imagery, IEEE Conference on Computer Vision and Pattern Recognition, 1 (2008).

[30] Rublee E., Rabaud V., Konolidge K. and Bradski G., ORB: An Efficient Alternative to SIFT or SURF, International Conference on Computer Vision, 2564 (2011).

[31] Balntas V., Johns E., Tang L. and Mikolajczyk K., PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors, arXiv:1601.05030, 2016.

[32] Han X., Leung T., Jia Y., Sukthankar R. and Berg A., MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching, IEEE Conference on Computer Vision and Pattern Recognition, 3279 (2015).

[33] Wang Z., Bovik A., Sheikh H. and Simoncelli E., IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society 13, 600 (2004).