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Semantic object classes in video: A high-definition ground truth…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-PR-car-video-database.pdf13 Mar 2018: The MicrosoftResearch Cambridge database (Shotton et al., 2006) is among themost relevant, because it includes per-pixel class labels for everyphotograph in the set. ... Processing the CamVid Database using TextonBoost gave verysimilar overall scores to -
doi:10.1016/j.patrec.2008.04.005
mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PR-car-video-database.pdf28 Jul 2009: The MicrosoftResearch Cambridge database (Shotton et al., 2006) is among themost relevant, because it includes per-pixel class labels for everyphotograph in the set. ... Processing the CamVid Database using TextonBoost gave verysimilar overall scores to -
doi:10.1016/j.patrec.2008.04.005
mi.eng.cam.ac.uk/~cipolla/publications/article/2009-PR-car-video-database-report.pdf13 Mar 2018: The MicrosoftResearch Cambridge database (Shotton et al., 2006) is among themost relevant, because it includes per-pixel class labels for everyphotograph in the set. ... Processing the CamVid Database using TextonBoost gave verysimilar overall scores to -
IB-interestpoints.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2018-IB-handout2.pdf14 May 2018: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering. Handout 2: Feature Extraction. ... animals, wood and skin. They typically consist of organised. patterns of regular sub-elements called textons. -
2024-IB-Paper8-CV.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/2024-IB-Paper8-CV-Features-Matching.pdf1 May 2024: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering. Feature Detection and Matching. ... Blake and A. Yuille,editors, Active Vision, pages 263–284. MIT Press, Cambridge MA,. -
IB-interestpoints.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2017-IB-handout2.pdf18 May 2017: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering [10mm]. ... animals, wood and skin. They typically consist of organised. patterns of regular sub-elements called textons. -
Unsupervised Bayesian Detection of Independent Motion in Crowds…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Brostow-motionincrowds.pdf13 Mar 2018: Unsupervised Bayesian Detection of Independent Motion in Crowds. Gabriel J. Brostow and Roberto CipollaUniversity of Cambridge. ... Thepenghurry-01 sequence comes from fotosearch.com. Thefirst author was supported by funding from the Cambridge-MIT -
� ������� �� ������������� �������������������!…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_thesis.pdf9 Aug 2005: References 96. Ph.D. dissertation, Thomas Niesler, Cambridge University, June 1997. Page v. ... Ph.D. dissertation, Thomas Niesler, Cambridge University, June 1997. Chapter 1: Introduction Page 1. -
Multiscale Categorical Object RecognitionUsing Contour Fragments…
mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-contour-recognition.pdf13 Mar 2018: A. Blake is with Microsoft Research, Roger Needham Building, 7 JJThomson Ave., Cambridge, CB3 0FB, UK. ... E-mail: ablake@microsoft.com. R. Cipolla is with the Department of Engineering, Cambridge University,Trumpington St., Cambridge, CB2 1PZ, UK.E-mail: -
Efficiently Combining Contour and TextureCues for Object Recognition…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-Shotton.pdf13 Mar 2018: Efficiently Combining Contour and TextureCues for Object Recognition. Jamie Shotton† Andrew Blake† Roberto Cipolla†Microsoft Research Cambridge University of Cambridge. ... animals). We improve on [23] by using more powerful densetexture-based
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