Portfolio Arjan Helmer Feb 2011
Course Notes
Shape matching and object recognition using shape context belongie pami02
Shape context
Xren Nips12 Sparse Code Gradients
Multiple Shape Correspondence by Dynamic Programming Yusuf Sahillioğlu 1 and Yücel Yemez 2 Pacific Graphics 2014 Computer Eng. Depts, 1, 2, Turkey.
Background Goals Methods Results Conclusions Implications.
OpenCV Training course By Theerayod Wiangtong. Goals Develop a universal toolbox for research and development in the field of Computer Vision.
Automated Assessment of Kinaesthetic Performance in Rowing Simon Fothergill Ph.D. student Digital Technology Group, Computer Laboratory, University of.
Learning Data Representations with “Partial Supervision” Ariadna Quattoni.
1 The Odyssey of: Shape Matching with Ordered Boundary Point Shape Contexts Using a Least Cost Diagonal Method By Dr. Carl E Abrams Jan 20th, 2007.
Algorithms for 3D Isometric Shape Correspondence Yusuf Sahillioğlu Computer Eng. Dept., Koç University, Istanbul, Turkey.
