" Phatic communication refers also to trivial and obvious exchanges about the weather and time, made up of ready-made sentences or foreseeable statements.For good or ill, we are social creatures and cannot bear to be cut off too long from our fellows, even if we have nothing really to say to them." (Anthony Burgess, Language Made Plain. " Speech to promote human warmth: that is as good a definition as any of the phatic aspect of language.Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences "Hyper-graph Matching via Reweighted Random Walks", CVPR 2011 Hyper-graph Matching via Reweighted Random Walks Lee, Reweighted Random Walks for Graph Matching, ECCV 2010 Reweighted Random Walks for Graph Matching Malti, Feature Detection and Matching in Images with Radial Distortion, ICRA 2010 Mikolajczyk, Local Invariant Feature Detectors: A Survey, Foundations and Trends in Computer Graphics and Vision, 2008 Munoz, Representing shape with a spatial pyramid kernel, CIVR, 2007 Pyramids of Histograms of Oriented Gradients (PHOG)Ī. Maximally stable extremal regions (MSER) - VLFeat Matching local self-similarities across images and videos, CVPR, 2007 Snoek, Evaluating Color Descriptors for Object and Scene Recognition, PAMI, 2010Į. Modeling the shape of the scene: a holistic representation of the spatial envelope, IJCV, 2001 Robust wide baseline stereo from maximally stable extremal regions. Speeded Up Robust Feature (SURF) - Open SURF Shape matching and object recognition using shape contexts, PAMI, 2002 Gool SURF: Speeded Up Robust Features, ECCV, 2006 Speeded Up Robust Feature (SURF) - Matlab Wrapper
Schmid, Groups of Adjacent Contour Segments for Object Detection, PAMI, 2007 Scale-invariant feature transform (SIFT) - Library Sukthankar, PCA-SIFT: A More Distinctive Representation for Local Image Descriptors,CVPR, 2004 Shape matching and object recognition using low distortion correspondences. Morel and G.Yu, ASIFT, A new framework for fully affine invariant image comparison. Ferrari, Global and Efficient Self-Similarity for Object Classification and Detection, CVPR 2010 Global and Efficient Self-Similarity for Object Classification and Detection.
#Blocksworld speech functions software
Scale-invariant feature transform (SIFT) - Demo Software Distinctive Image Features from Scale-Invariant Keypoints, IJCV 2004. Scale-invariant feature transform (SIFT) - VLFeatĭ. Fua, BRIEF: Binary Robust Independent Elementary Features, ECCV 2010 Grauman, Boundary Preserving Dense Local Regions, CVPR 2011īRIEF: Binary Robust Independent Elementary Features Ramnath, Edge Foci Interest Points, ICCV, 2011 Drummond, Machine learning for high-speed corner detection, ECCV, 2006 Canny, A Computational Approach To Edge Detection, PAMI, 1986Į. Matlab Toolkit for Distance Metric Learning
Yan, "Common Visual Pattern Discovery via Spatially Coherent Correspondences", CVPR 2010 Irani, Detecting and Sketching the Common, CVPR 2010Ĭommon Visual Pattern Discovery via Spatially Coherent Correspondences
Prattichizzo, EGT: a Toolbox for Multiple View Geometry and Visual Servoing, IEEE Robotics & Automation Magazine, 2005 Fonseca, Automatic camera calibration applied to medical endoscopy, BMVC, 2009 Kambhamettu, Learning Based Digital Matting, ICCV 2009 A Closed Form Solution to Natural Image Matting, PAMI 2008. Szeliski, A Bayesian Approach to Digital Matting, CVPR, 2001Ī. Liu, Action Recognition by Dense Trajectories, CVPR, 2011Ī. Lindeberg, On Space-Time Interest Points, IJCV 2005Ī. Laptev, On Space-Time Interest Points, IJCV, 2005 and I. Feature Detection,Feature Extraction, and Action Recognition
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