LEADER 07744nam 22007935 450 001 996465687703316 005 20200704050152.0 010 $a1-280-38876-5 010 $a9786613566683 010 $a3-642-15567-7 024 7 $a10.1007/978-3-642-15567-3 035 $a(CKB)2670000000045073 035 $a(SSID)ssj0000446376 035 $a(PQKBManifestationID)11293854 035 $a(PQKBTitleCode)TC0000446376 035 $a(PQKBWorkID)10496218 035 $a(PQKB)10364058 035 $a(DE-He213)978-3-642-15567-3 035 $a(MiAaPQ)EBC3065771 035 $a(PPN)149024533 035 $a(EXLCZ)992670000000045073 100 $a20100905d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputer Vision -- ECCV 2010$b[electronic resource] $e11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI /$fedited by Kostas Daniilidis, Petros Maragos, Nikos Paragios 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XXII, 611 p. 282 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6316 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-15566-9 320 $aIncludes bibliographical references and index. 327 $aVisual Learning -- Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation -- Object Recognition with Hierarchical Stel Models -- MIForests: Multiple-Instance Learning with Randomized Trees -- Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations -- Stacked Hierarchical Labeling -- Spotlights and Posters R2 -- Fully Isotropic Fast Marching Methods on Cartesian Grids -- Clustering Complex Data with Group-Dependent Feature Selection -- On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation -- Exploring the Identity Manifold: Constrained Operations in Face Space -- Multi-label Linear Discriminant Analysis -- Convolutional Learning of Spatio-temporal Features -- Learning Pre-attentive Driving Behaviour from Holistic Visual Features -- Detecting People Using Mutually Consistent Poselet Activations -- Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo -- Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos -- Learning to Detect Roads in High-Resolution Aerial Images -- Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry -- A Structural Filter Approach to Human Detection -- Geometric Constraints for Human Detection in Aerial Imagery -- Handling Urban Location Recognition as a 2D Homothetic Problem -- Recursive Coarse-to-Fine Localization for Fast Object Detection -- A Local Bag-of-Features Model for Large-Scale Object Retrieval -- Velocity-Dependent Shutter Sequences for Motion Deblurring -- Colorization for Single Image Super Resolution -- Programmable Aperture Camera Using LCoS -- A New Algorithmic Approach for Contrast Enhancement -- Seeing through Obscure Glass -- A Continuous Max-Flow Approach to Potts Model -- Hybrid Compressive Sampling via a New Total Variation TVL1 -- Perspective Imaging under Structured Light -- Lighting and Pose Robust Face Sketch Synthesis -- Predicting Facial Beauty without Landmarks -- Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary -- Motion Profiles for Deception Detection Using Visual Cues -- A Robust and Scalable Approach to Face Identification -- Emotion Recognition from Arbitrary View Facial Images -- Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model -- Robust Head Pose Estimation Using Supervised Manifold Learning -- Knowledge Based Activity Recognition with Dynamic Bayesian Network -- View and Style-Independent Action Manifolds for Human Activity Recognition -- Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects -- Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation -- Hough Transform and 3D SURF for Robust Three Dimensional Classification. 330 $aThe 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. Each Area Chair was assigned by the Program Chairs between 28?32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all reviewers in the database including the conflicting ones. The Program Chairs manually entered the missing conflict domains of approximately 300 reviewers. Based on the recommendation of the Area Chairs, three reviewers were selected per paper (with at least one being of the top three suggestions), with 99. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6316 606 $aOptical data processing 606 $aPattern recognition 606 $aBiometrics (Biology) 606 $aComputer graphics 606 $aAlgorithms 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aBiometrics (Biology). 615 0$aComputer graphics. 615 0$aAlgorithms. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aBiometrics. 615 24$aComputer Graphics. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.6 676 $a006.37 702 $aDaniilidis$b Kostas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaragos$b Petros$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aParagios$b Nikos$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465687703316 996 $aComputer Vision -- ECCV 2010$92592340 997 $aUNISA