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Keypoint Matching and Tracking


  1. J. Wan, A. Yilmaz and L. Yan. October 2019. PPD: Pyramid Patch Descriptor via Convolutional Neural Network. Photogrammetric Engineering and Remote Sensing. Volume 85, Number 9, September 2019, pp. 673-686.

  2. J. Wan, A. Yilmaz, L. Yan. December 2018. DCF-BoW: Build Match Graph Using Bag of Deep Convolutional Features for Structure from Motion. IEEE Geoscience and Remote Sensing Letters. Vol. 15, No: 12, pp. 1847-1852.

  3. J. Wan and A. Yilmaz. June 2018. DCF: A method for creating image relation table using a deep convolutional network. Acta Geodaetica et Cartographica Sinica (AGCS) Machine Vision Special Issue. Vol. 47. No 6. pp. 882-891.

  4. J. Jiang and A. Yilmaz. March 2014. Persistent Feature Tracking Using Scene Geometry. Computer Vision and Image Understanding, Vol 120 p 141-156. DOI 10.1016/j.cviu.2013.10.009
  5. J. Lawver and A. Yilmaz. 2013. Robust Feature Tracking in Image Sequences Using View Geometric Constraints. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3-W2, 25-30. Antalya, Turkey. (November) (Best Paper Award)
  6. J. Jiang and A. Yilmaz. 2011. Good Features to Track: A View Geometric Approach. IEEE Workshop on Mobile Vision (In conjunction with ICCV). Barcelona, Spain. (November)
  7. V. Khare, A. Yilmaz and Olga Mendoza-Schrock. 2010. Precise Image Registration and Occlusion Labeling. In: IEEE NAECON. Dayton, OH. (July 14)