Del i serien Lecture Notes in Computer Science

Computer Vision -- ECCV 2012. Workshops and Demonstrations

Florence, Italy, October 7-13, 2012, Proceedings, Part I

Häftad, Engelska, 2012

AvAndrea Fusiello,Vittorio Murino,Rita Cucchiara

749 kr

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The three volume set LNCS 7583, 7584 and 7585 comprises the Workshops and Demonstrations which took place in connection with the European Conference on Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2012. The total of 179 workshop papers and 23 demonstration papers was carefully reviewed and selected for inclusion in the proceedings. They where held at workshops with the following themes: non-rigid shape analysis and deformable image alignment; visual analysis and geo-localization of large-scale imagery; Web-scale vision and social media; video event categorization, tagging and retrieval; re-identification; biological and computer vision interfaces; where computer vision meets art; consumer depth cameras for computer vision; unsolved problems in optical flow and stereo estimation; what's in a face?; color and photometry in computer vision; computer vision in vehicle technology: from earth to mars; parts and attributes; analysis and retrieval of tracked events and motionin imagery streams; action recognition and pose estimation in still images; higher-order models and global constraints in computer vision; information fusion in computer vision for concept recognition; 2.5D sensing technologies in motion: the quest for 3D; benchmarking facial image analysis technologies.

Produktinformation

Utgivningsdatum2012-08-31
Mått155 x 235 x 34 mm
Vikt949 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor611
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642338625

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Putting the Pieces Together: Regularized Multi-part Shape Matching.- Combined Motion Estimation and Reconstruction in Tomography.- 3D Object Classification Using Scale Invariant Heat Kernelswith Collaborative Classification.- 3D Facial Landmark Localization Using Combinatorial Searchand Shape Regression.- Statistical Shape Analysis for Population Studies via Level-SetBased Shape Morphing.- Group-Valued Regularization for Analysis of Articulated Motion.- Drawing an Automatic Sketch of Deformable Objects Using Onlya Few Images.- Superfaces: A Super-Resolution Model for 3D Faces.- Stable Spectral Mesh Filtering.- Analytical Dynamic Programming Matching.- Correspondences of Persistent Feature Points on Near-IsometricSurfaces.- 3D Reconstruction of Non-Rigid Surfaces in Real-Time Using WedgeElements.- Schrödinger Diffusion for Shape Analysis with Texture.- Anchored Deformable Face Ensemble Alignment.- Multiple Object Tracking via Prediction and Filtering with aSobolev-Type Metric onCurves.- Facial Model Fitting Based on Perturbation Learning and It’sEvaluation on Challenging Real-World Diversities Images.- Adaptive Rendering for Large-Scale Skyline Characterization andMatching.- Ultra-wide Baseline Facade Matching for Geo-localization.- A Memory Efficient Discriminative Approach for Location AidedRecognition.- Web-Scale Vision and Social MediaWeakly Supervised Learning of Object Segmentations from Web-ScaleVideo.- Classifier Ensemble Recommendation.- Towards Exhaustive Pairwise Matching in Large Image Collections.- Large Vocabularies for Keypoint-Based Representation and Matchingof Image Patches.- Linearized Smooth Additive Classifiers.- Ask’nSeek: A New Game for Object Detection and Labeling.- Learning to Match Images in Large-Scale Collections.- Efficient Mining of Repetitions in Large-Scale TV Streamswith Product Quantization Hashing.- An Efficient Parallel Strategy for Matching Visual Self-similaritiesin Large Image Databases.- Atomic Action Features:A New Feature for Action Recognition.- Spatio-temporal SIFT and Its Application to Human ActionClassification.- Statistics of Pairwise Co-occurring Local Spatio-temporal Featuresfor Human Action Recognition.- Visual Code-Sentences: A New Video Representation Based on ImageDescriptor Sequences.- Action Recognition Robust to Background Clutter by Using StereoVision.- Recognizing Actions across Cameras by Exploring the CorrelatedSubspace.- Chinese Shadow Puppetry with an Interactive Interface Using theKinect Sensor.- Group Dynamics and Multimodal Interaction Modeling Using a SmartDigital Signage.- Automated Textual Descriptions for a Wide Range of Video Eventswith 48 Human Actions.- Learning Implicit Transfer for Person Re-identification.- Person Re-identification: What Features Are Important? .- Towards Person Identification and Re-identification with Attributes.- Local Descriptors Encoded by Fisher Vectors for PersonRe-identification.- Re-identification of Pedestrians in Crowds Using Dynamic TimeWarping.- Re-identification with RGB-D Sensors.- Identity Inference: Generalizing Person Re-identification Scenarios.- A General Method for Appearance-Based People Search Based onTextual Queries.- Biological and Computer Vision Interfaces (BCVI)Lessons from the Primate Visual System.- Neural Mechanisms for Form and Motion Detection and Integration:Biology Meets Machine Vision.- Neural Fields Models of Visual Areas: Principles, Successes,and Caveats.- Visual Cortex as a General-Purpose Information-Processing Device.- Reading Out the Synaptic Echoes of Low-Level Perception in V1.- Learning Invariant Feature Hierarchies.- Fun with Asynchronous Vision Sensors and Processing.- Spike-Based Image Processing: Can We Reproduce Biological Visionin Hardware?.- Where Computer Vision Meets Art (VISART)PHOG-Derived Aesthetic Measures Applied to Color Photographsof Artworks, Natural Scenes and Objects.- Wehrli 2.0 : An Algorithm for “Tidying up Art”.- Feature Vector Definition for a Decision Tree Based CraquelureIdentification in Old Paintings.- Computer-Aided Reclamation of Lost Art.- Evaluation of Digital Inpainting Quality in the Context of ArtworkRestoration.- Shaping Art with Art: Morphological Analysis for Investigating ArtisticReproductions.- Artificial Mosaics with Irregular Tiles Based on Gradient VectorFlow.- Identification of Illustrators.- Locally Consistent ToF and Stereo Data Fusion.

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