IAM

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STUDYINGCOMPUTERSCIENCEANDMATH COMPUTERSCIENCE

Check out my research on superpixel segmentation: Superpixels / SEEDS

ARTICLE

Image Retrieval – Reading List

Image retrieval describes the problem of finding, within a large database, images containing the same or similar objects as a given query image. This article is meant to provide a short reading list for image retrieval by focussing on the associated subproblems: image description, descriptor compression, nearest-neighbor search and query expansion.

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09thMAY2016

READING

David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91–110, November 2004. PDF

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07thMAY2016

READING

O. Chum, J. Philbin, J. Sivic, M. Isard, A. Zisserman. Total recall: Automatic query expansion with a generative feature model for object retrieval. In Computer Vision, International Conference on, pages 1–8, Rio de Janeiro, Brazil, October 2007. PDF

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07thMAY2016

READING

C. Harris, M. Stephens. A combined corner and edge detector. In Alvey Vision Conference, pages 1–6, Manchester, United Kingdom, September 1988. PDF

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06thMAY2016

READING

G. Kutyniok. Theory and Applications of Compressed Sensing. Computing Research Repository, abs/1203.3815, 2012. 

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05thMAY2016

READING

S. Vedula, S. Baker, P. Rander, R. T. Collins, T. Kanade. Three-Dimensional Scene Flow. Transactions on Pattern Analysis and Machine Intelligence, 2005. PDF

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03rdMAY2016

READING

A. Geiger, P. Lenz, R. Urtasun. Are we ready for autonomous driving? The KITTI vision benchmark. Conference on Computer Vision and Pattern Recognition, 2012. PDF

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ARTICLE

Implementation of iPiano for Non-Convex and Non-Smooth Optimization

Ochs et al. proposed iPiano, a proximal algorithm with inertial force for non-convex and non-smooth optimization. This article presents a C++ implementation which was written as part of a seminar on “Selected Topics in Image Processing”.

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29thAPRIL2016

READING

J. Shen. Gamma-Convergence Approximation to Piecewise Constant Mumford-Shah Segmentation. International Conference on Advanced Concepts for Intelligent Vision Systems, 2005. PDF

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24thAPRIL2016

READING

P. L. Combettes and J.-C. Pesquet.Proximal Splitting Methods in Signal Processing. Fixed-Point Algorithms for Inverse Problems in Science and Engineering, Springer, 2011. PDF

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