• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 71 matches

• 2020
• 
  Chen Zhao, Xuelong Li, Yongsheng Dong:
  Learning blur invariant binary descriptor for face recognition. Neurocomputing 404: 34-40 (2020)
• 
  Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
  Collaborative representation of blur invariant deep sparse features for periocular recognition from smartphones. Image Vis. Comput. 101: 103979 (2020)
• 
  Sungkwon An, Hyungmin Roh, Myungjoo Kang:
  Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring. CoRR abs/2007.04543 (2020)
• 2019
• 
  Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao:
  Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior. Complex. 2019: 3829263:1-3829263:12 (2019)
• 
  Matej Lébl, Filip Sroubek, Jaroslav Kautsky, Jan Flusser:
  Blur Invariant Template Matching Using Projection onto Convex Sets. CAIP (1) 2019: 351-362
• 
  Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara, Ngoc-Son Vu:
  Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classification. CAIP (1) 2019: 155-167
• 
  Jitka Kostková, Jan Flusser, Matej Lébl, Matteo Pedone:
  Image Invariants to Anisotropic Gaussian Blur. SCIA 2019: 140-151
• 2018
• 
  Diaa M. Uliyan, Mohammad A. M. Abushariah, Ahmad Mousa Altamimi:
  Blur Invariant Features For Exposing Region Duplication Forgery Using ANMS And Local Phase Quantization. Informatica (Slovenia) 42(4) (2018)
• 
  Ankita Verma, Vivek Kapoor, Sangita Roy:
  Efficient Copy-Move Forgery Detection using Blur and Rotation Invariant Technique. ICNCC 2018: 123-127
• 2017
• 
  Rahul Dixit, Ruchira Naskar, Swati Mishra:
  Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD. IET Image Process. 11(5): 301-309 (2017)
• 
  Thekke Madam Nimisha, Akash Kumar Singh, A. N. Rajagopalan:
  Blur-Invariant Deep Learning for Blind-Deblurring. ICCV 2017: 4762-4770
• 2016
• 
  Michael Gadermayr, Andreas Uhl:
  Making texture descriptors invariant to blur. EURASIP J. Image Video Process. 2016: 14 (2016)
• 
  Bo Fu, Hao Guo, Xilin Zhao, Yufang Chang, Bo Li, Li He:
  Motion-blurred SIFT invariants based on sampling in image deformation space and univariate search. IET Comput. Vis. 10(7): 709-717 (2016)
• 
  Elhusain Saad, Keigo Hirakawa:
  Defocus Blur-Invariant Scale-Space Feature Extractions. IEEE Trans. Image Process. 25(7): 3141-3156 (2016)
• 
  Huxiang Gu, Joel Z. Leibo, Fabio Anselmi, Chunhong Pan, Tomaso A. Poggio:
  Invariant representation for blur and down-sampling transformations. ICIP 2016: 3593-3597
• 2015
• 
  Matteo Pedone:
  Algebraic methods for constructing blur-invariant operators and their applications. University of Oulu, Finland, 2015
• 
  Deepti Tamrakar, Pritee Khanna:
  Blur and occlusion invariant palmprint recognition with block-wise local phase quantization histogram. J. Electronic Imaging 24(4): 043006 (2015)
• 
  Jan Flusser, Tomás Suk, Jirí Boldys, Barbara Zitová:
  Projection Operators and Moment Invariants to Image Blurring. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 786-802 (2015)
• 
  Zhan-Xiang Feng, Yang Yuan, Jian-Huang Lai:
  Learning Blur Invariant Face Descriptors for Face Verification Under Realistic Environment. CCCV (1) 2015: 355-365
• 2014
• 
  Xiubin Dai, Tianliang Liu, Huazhong Shu, Limin Luo:
  Pseudo-Zernike moment invariants to blur degradation and similarity transformation. Int. J. Comput. Math. 91(11): 2403-2414 (2014)
• 
  Xiubin Dai, Hui Zhang, Tianliang Liu, Huazhong Shu, Limin Luo:
  Legendre moment invariants to blur and affine transformation and their use in image recognition. Pattern Anal. Appl. 17(2): 311-326 (2014)
• 2013
• 
  Claudio Estatico, Fabio Di Benedetto:
  Shift-invariant approximations of structured shift-variant blurring matrices. Numer. Algorithms 62(4): 615-635 (2013)
• 
  Matteo Pedone, Jan Flusser, Janne Heikkilä:
  Blur Invariant Translational Image Registration for N -fold Symmetric Blurs. IEEE Trans. Image Process. 22(9): 3676-3689 (2013)
• 
  Zhengwu Zhang, Eric Klassen, Anuj Srivastava:
  Gaussian Blurring-Invariant Comparison of Signals and Images. IEEE Trans. Image Process. 22(8): 3145-3157 (2013)
• 
  Sheng-hua Zhong, Yan Liu, Yang Liu, Changsheng Li:
  Water Reflection Recognition Based on Motion Blur Invariant Moments in Curvelet Space. IEEE Trans. Image Process. 22(11): 4301-4313 (2013)
• 
  Yosuke Bando, Henry Holtzman, Ramesh Raskar:
  Near-invariant blur for depth and 2D motion via time-varying light field analysis. ACM Trans. Graph. 32(2): 13:1-13:15 (2013)
• 
  Tao Wang, Jin Tang, Bin Luo:
  Blind Detection of Region Duplication Forgery by Merging Blur and Affine Moment Invariants. ICIG 2013: 258-264
• 
  Saleh K. H. Aly, Daisuke Deguchi, Hiroshi Murase:
  Blur-invariant traffic sign recognition using compact local phase quantization. ITSC 2013: 821-827
• 2012
• 
  Bin Xiao, Jian-Feng Ma, Jiangtao Cui:
  Combined blur, translation, scale and rotation invariant image recognition by Radon and pseudo-Fourier-Mellin transforms. Pattern Recognit. 45(1): 314-321 (2012)
• 
  Iman Makaremi, Majid Ahmadi:
  Wavelet-Domain Blur Invariants for Image Analysis. IEEE Trans. Image Process. 21(3): 996-1006 (2012)

skipping 41 more matches