Samuele Martelli





Computer Vision Timeline

Category : news · by Jan 13th, 2014

 

Timeline of Computer Vision* & Machine Learning

1895: Histograms, Karl Pearson

1973: Pictorial structures, Fischker and Elschager

1981: RANSAC, Fischler and Bolles

1983: Simulated Annealing, S.Kirkpatrick and M. P. Vecchi, Science.

1988: Harris Corner Detector,  Harris and M. Stephens/  Schmid and R. Mohr (PAMI97)

1990 First contribution of what in 1997 will be called Multiple Istance Learning by Dietterich, Lathrop & Lozano-Pérez Fist authors Keeler, Rumelhart & Leow.

1995: AdaBoost, Freund & Shapire

1998: GentleBoost, RealBoost, LogitBoost, Friedman et al.

1999: SIFT, Lowe – ICCV99, IJCV04

1999: BrownBoost, Freund

2000: Efficient matching of Pictorial Structure, Felzenswalb & Huttenlocher CVPR, IJCV 2005, Scmid & Triggs ECCV02, Schiele CVPR09

2000: BrownBoosting, Freund

2000: Shape Context, Belongie Malik – NIPS2001, PAMI02, PAMI05

2000: Haar Wavelets Features, Papageorgiou and T. Poggio – IJCV

2001: Generalized Haar Wavelets Features, Papageorgiou, and T. Poggio – PAMI

2001: Haar-like Features + Adaboost, Viola & Jones – CVPR

2001: Harris-Laplace detector,  Mikolajczyk and C. Schmid – ICCV

2002: mi-SVM,MI-SVM, Andrews et al.

2003: Implicit Shape Model, Leibe, A. Leonardis, and B. Schiele – BMVC03,ECCVW04, IJCV08, Maji & Malik CVPR09

2003: Local Chamfer Descriptor,  Leibe and B. Schiele – BMVC

2004: Difference-of-Gaussian Detector, Lowe – IJCV

2004: Robust Part Detectors, K Mikolajczyk, C Schmid ECCV

2004: Hessian-Laplace detector Mikolajczyk and C. Schmid -PAMI

2004: EyeQ, Shashua et al. – Mobileye Inc. Intelligent Vehicles Symposium

2005: HOG, Dalal & Triggs – CVPR

2005: Edgelets, Wu and R. Nevatia – ICCV

2005: Spin-Image, Schmid, Ponce, Lazebnik – PAMI

2006: Boosted HOG, Laptev  – BMVC

2007: Shapelets for Pedestrian Detection, Sabzmeydani and Mori – CVPR

2008: Deformable Part Models, Felzenszwalb et al. – CVPR

2008: IKSVM, Maji & Malik CVPR

2008: MPLBoost, Babenko ECCVW, Kim & Cipolla – NIPS

2008: Semi-Global Block Matching Stereo, Hirschmuller – PAMI

2009: Poselets, Bourdev, Malik ICCV, ECCV10, CVPR11, CVPR11, ICCV11, ICCV11

2010: MOSSE Tracker, Bolme – CVPR

2010: SDALF Re-Id, Farenzena, Bazzani, Cristani, Murino et al. – CVPR

2011: Human Pose Recognition with Kinect, Shotton et al. Microsoft Research – CVPR

2012: Deep Learning in applied to almost every Computer Vision task!!!!!!!!!!!!!!

2012: Xilinx Zynq is on the market for next generation Vision Machines.

2013: Franken-Classifiers, Benenson et al. – ICCV

2013: Heterogeneous Auto-Similarities of Characteristics (HASC), San Biagio et al. – ICCV

 

* Major enphasis on Object Detection and Recognition

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