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ORCIDJohn L. Barron
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- affiliation: University of Western Ontario, Canada
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2020 – today
- 2020
[j17]Ayan Chaudhury
, John L. Barron:
Plant Species Identification from Occluded Leaf Images. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1042-1055 (2020)
2010 – 2019
- 2019
- [j16]Ayan Chaudhury, Christopher Ward, Ali Talasaz, Alexander G. Ivanov, Mark Brophy, Bernard Grodzinski, Norman P. A. Hüner, Rajnikant V. Patel, John L. Barron:
Machine Vision System for 3D Plant Phenotyping. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 2009-2022 (2019) - 2018
- [c38]Ayan Chaudhury, John L. Barron:
Occluded Leaf Matching with Full Leaf Databases Using Explicit Occlusion Modelling. CRV 2018: 8-15 - 2017
- [i2]Ayan Chaudhury, John L. Barron:
Partially Occluded Leaf Recognition via Beta-Spline Curve Matching and Energy Minimization. CoRR abs/1704.08778 (2017) - [i1]Ayan Chaudhury, Christopher Ward, Ali Talasaz, Alexander G. Ivanov, Mark Brophy, Bernard Grodzinski, Norman P. A. Hüner, Rajni V. Patel, John L. Barron:
Machine Vision System for 3D Plant Phenotyping. CoRR abs/1705.00540 (2017) - 2016
- [j15]Ayan Chaudhury, Mark Brophy, John L. Barron:
Junction-Based Correspondence Estimation of Plant Point Cloud Data Using Subgraph Matching. IEEE Geosci. Remote. Sens. Lett. 13(8): 1119-1123 (2016) - 2015
- [c37]Mark Brophy, Ayan Chaudhury, Steven S. Beauchemin, John L. Barron:
A Method for Global Non-rigid Registration of Multiple Thin Structures. CRV 2015: 214-221 - [c36]Ayan Chaudhury, Christopher Ward, Ali Talasaz, Alexander G. Ivanov, Norman P. A. Hüner, Bernard Grodzinski, Rajni V. Patel, John L. Barron:
Computer Vision Based Autonomous Robotic System for 3D Plant Growth Measurement. CRV 2015: 290-296 - 2013
- [c35]Yong Zhang, Robert E. Mercer, John L. Barron, Paul Joe:
Tracking Severe Storms Using a Pseudo Storm Concept. CRV 2013: 273-280 - 2012
- [j14]Yehia T. Kotb, Steven S. Beauchemin, John L. Barron:
Workflow Nets for Multiagent Cooperation. IEEE Trans Autom. Sci. Eng. 9(1): 198-203 (2012) - [c34]Jieyu Zhang, John L. Barron:
Optical Flow at Occlusion. CRV 2012: 198-205 - 2011
- [c33]Yong Zhang, John L. Barron, Robert E. Mercer:
3D Optical Flow from Doppler and Windprofiler Radar Data. VISAPP 2011: 675-679 - 2010
- [c32]Weixin Chen, John L. Barron:
High Accuracy Optical Flow Method Based on a Theory for Warping: 3D Extension. ICIAR (1) 2010: 250-262 - [c31]Daniel S. Cho, Cristian A. Linte, Elvis C. S. Chen, Chris Wedlake, John Moore, John L. Barron, Rajnikant V. Patel, Terry M. Peters:
Predicting Target Vessel Location for Improved Planning of Robot-Assisted CABG Procedures. MICCAI (3) 2010: 205-212
2000 – 2009
- 2008
- [j13]Neil A. Thacker, Adrian F. Clark, John L. Barron, J. Ross Beveridge, Patrick Courtney, William R. Crum, Visvanathan Ramesh, Christine Clark:
Performance characterization in computer vision: A guide to best practices. Comput. Vis. Image Underst. 109(3): 305-334 (2008) - 2007
- [c30]Yehia T. Kotb, Steven S. Beauchemin, John L. Barron:
Petri Net-Based Cooperation In Multi-Agent Systems. CRV 2007: 123-130 - [c29]Hongkai Wang, Robert E. Mercer, John L. Barron, Paul Joe:
Skeleton-Based Tornado Hook Echo Detection. ICIP (6) 2007: 361-364 - [c28]Baozhong Tian, John L. Barron:
Sound from Gramophone Record Groove Surface Orientation. ICIP (6) 2007: 541-544 - 2006
- [c27]John L. Barron, Marc Daniel, Jean-Luc Mari:
Using 3D Spline Differentiation to Compute Quantitative Optical Flow. CRV 2006: 11 - 2005
- [j12]Amr Aboelela, Albert Liptay, John L. Barron:
Plant Growth Measurement Techniques using Near-Infrared Imagery. Int. J. Robotics Autom. 20(1) (2005) - [j11]John L. Barron, Robert E. Mercer, X. Chen, Paul Joe:
3D velocity from 3D Doppler radial velocity. Int. J. Imaging Syst. Technol. 15(3): 189-198 (2005) - [c26]Baozhong Tian, John L. Barron:
A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate Depth. CRV 2005: 498-505 - 2004
- [c25]John L. Barron:
Experience with 3D Optical Flow on Gated MRI Cardiac Datasets. CRV 2004: 370-377 - [c24]Hagen Spies, John L. Barron:
Evaluating Certainties in Image Intensity Differentiation for Optical Flow. CRV 2004: 408-416 - 2003
- [c23]Xiaolai Tang, John L. Barron, Robert E. Mercer, Paul Joe:
Tracking Weather Storms Using 3D Doppler Radial Velocity Information. SCIA 2003: 1038-1043 - 2002
- [j10]Hagen Spies, Bernd Jähne, John L. Barron:
Range Flow Estimation. Comput. Vis. Image Underst. 85(3): 209-231 (2002) - [j9]Robert E. Mercer, John L. Barron, Aiden A. Bruen, David Cheng:
Fuzzy points: algebra and application. Pattern Recognit. 35(5): 1153-1166 (2002) - [c22]John L. Barron, Reinhard Klette:
Quantitative Color Optical Flow. ICPR (4) 2002: 251-255 - [c21]Hagen Spies, John L. Barron:
Evaluating the Range Flow Motion Constraint. ICPR (3) 2002: 517- - [c20]John L. Barron, Wang Kay Jacky Ngai, Hagen Spies:
Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework. Theoretical Foundations of Computer Vision 2002: 346-355 - 2001
- [c19]Hagen Spies, Bernd Jähne, John L. Barron:
Surface Expansion from Range Data Sequences. DAGM-Symposium 2001: 163-169 - [c18]X. Chen, John L. Barron, Robert E. Mercer, Paul Joe:
3D regularized velocity from 3D Doppler radial velocity. ICIP (3) 2001: 664-667 - 2000
- [j8]Steven S. Beauchemin, John L. Barron:
On Discontinuous Optical Flow. Comput. Artif. Intell. 19(3): 255-283 (2000) - [j7]Steven S. Beauchemin, John L. Barron:
On the Fourier Properties of Discontinuous Motion. J. Math. Imaging Vis. 13(3): 155-172 (2000) - [j6]Steven S. Beauchemin, John L. Barron:
The Frequency Structure of One-Dimensional Occluding Image Signals. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 200-206 (2000) - [c17]Hagen Spies, Bernd Jähne, John L. Barron:
Regularised Range Flow. ECCV (2) 2000: 785-799 - [c16]Hagen Spies, Bernd Jähne, John L. Barron:
Dense Range Flow from Depth and Intensity Data. ICPR 2000: 1131-1134 - [c15]John L. Barron, Hagen Spies:
The Fusion of Image and Range Flow. Theoretical Foundations of Computer Vision 2000: 171-189
1990 – 1999
- 1999
- [c14]Hagen Spies, Horst Haußecker, Bernd Jähne, John L. Barron:
Differential Range Flow Estimation. DAGM-Symposium 1999: 309-316 - 1998
- [j5]D. Cheng, Robert E. Mercer, John L. Barron, Paul Joe:
Tracking severe weather storms in Doppler radar images. Int. J. Imaging Syst. Technol. 9(4): 201-213 (1998) - [c13]John L. Barron, Albert Liptay:
Evaluation of an Optical Flow Method for Measuring 2D and 3D Corn Seedling Growth. Theoretical Foundations of Computer Vision 1998: 181-194 - 1996
- [j4]John L. Barron, Roy Eagleson:
Recursive estimation of time-varying motion and structure parameters. Pattern Recognit. 29(5): 797-818 (1996) - [c12]D. Cheng, Robert E. Mercer, John L. Barron, Paul Joe:
Tracking fuzzy storm centers in Doppler radar images. ICIP (2) 1996: 959-962 - [c11]John L. Barron, Roy Eagleson:
Computation of time-varying motion and structure parameters from real image sequences. TFCV 1996: 181-190 - [c10]Steven S. Beauchemin, John L. Barron:
A theory of occlusion in the context of optical flow. TFCV 1996: 191-200 - 1995
- [j3]Steven S. Beauchemin, John L. Barron:
The Computation of Optical Flow. ACM Comput. Surv. 27(3): 433-467 (1995) - [c9]John L. Barron, Roy Eagleson:
Binocular estimation of motion and structure from long sequences using optical flow without correspondence. ICIP 1995: 193-196 - [p1]T. Lin, John L. Barron:
Image Reconstruction Error for Optical Flow. Research in Computer and Robot Vision 1995: 269-290 - 1994
- [j2]John L. Barron, David J. Fleet, Steven S. Beauchemin:
Performance of optical flow techniques. Int. J. Comput. Vis. 12(1): 43-77 (1994) - [c8]D. Krezeski, Robert E. Mercer, John L. Barron, Paul Joe, H. Zhang:
Strom Tracking in Doppler RAdar Images. ICIP (3) 1994: 226-230 - 1992
- [c7]John L. Barron, David J. Fleet, Steven S. Beauchemin, T. A. Burkitt:
Performance of optical flow techniques. CVPR 1992: 236-242 - 1990
- [j1]John L. Barron, Allan D. Jepson, John K. Tsotsos:
The feasibility of motion and structure from noisy time-varying image velocity information. Int. J. Comput. Vis. 5(3): 239-269 (1990) - [c6]Ernest Z. Tihanyi, John L. Barron:
Spatio-temporal edge focusing. ICPR (1) 1990: 213-216
1980 – 1989
- 1988
- [b1]John L. Barron:
Computing motion and structure from noisy time-varying image velocity information. University of Toronto, Canada, 1988 - [c5]John L. Barron, Allan D. Jepson, John K. Tsotsos:
The Feasibility Of Motion And Structure Computations. ICCV 1988: 651-657 - 1987
- [c4]John L. Barron, Allan D. Jepson, John K. Tsotsos:
The Sensitivity of Motion and Structure Computations. AAAI 1987: 700-705 - [c3]John L. Barron, Allan D. Jepson, John K. Tsotsos:
Determination of Egomotion and Environmental Layout from Noisy Time-Varying Image Velocity in Binocular Image Sequences. IJCAI 1987: 822-825 - 1982
- [c2]John L. Barron:
Dialogue and process design for interactive information systems using Taxis. COCS 1982: 12-20 - [c1]Lee F. Todd, J. M. Hansen, S. V. Pantulu, John L. Barron, D. J. Gilbert, R. J. Anderson, A. K. Biyani:
CGALA-a multi technology Gate Array Layout system. DAC 1982: 792-801
Coauthor Index
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