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Ghostscript wrapper for C:\Documents and Settings\mike\My…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2003-MOS-handtracking.pdf13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave, -
Combining Single View Recognition and Multiple View Stereo For ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-ICCV-Dick-combining.pdf13 Mar 2018: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A? -
A Simple Technique for Self-Calibration
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-Mendonca-self-calibration.pdf13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms -
Filtering Using a Tree-Based Estimator B. Stenger∗ A. Thayananthan∗…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2003-ICCV-Stenger-filtering.pdf13 Mar 2018: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK. -
Ghostscript wrapper for C:\Documents and Settings\mike\My…
mi.eng.cam.ac.uk/~cipolla/publications/invitedTalk/2003-MOS-handtracking.pdf13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave, -
Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…
mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-Shallow-trees.pdf13 Mar 2018: path-length. to train data i.e. good generalisation, however, it is not op-timal in classification time. ... 2008). Random kitchen sinks: replacing op-timization with randomization in learning. In Proc. -
KIM et al.: GROWING A TREE FROM DECISION REGIONS ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-supertree.pdf13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region). -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function. -
Estimation of Epipolar Geometry from Apparent Contours: Affine and…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-affine-frontiers.pdf13 Mar 2018: If the angles of the epipolar lines had op-posite signals in respect the horizontal axis, the points putunder correspondence by the epipolar geometry would be atopposite places in the bottom -
Refining Architectures of Deep Convolutional Neural Networks Sukrit…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-CVPR-refining-CNN.pdf13 Mar 2018: Please see Fig 1 for an illustration ofthese operations. We do not consider the other plausible op-erations for architectural refinement of CNN; for instance,arbitrary connection patterns between two layers ... 2. We introduce a strategy that starts with
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