Computer vision -- ECCV 2014 : 13th European conference Zurich, Switzerland, September 6-12, 2014 : proceedings

著者

• European Conference on Computer Vision
• Fleet, David J.
• Pajdla, Tomas
• Schiele, Bernt
• Tuytelaars, Tinne

書誌事項

Computer vision -- ECCV 2014 : 13th European conference Zurich, Switzerland, September 6-12, 2014 : proceedings

David Fleet ... [et al.] (eds.)

（Lecture notes in computer science, 8689-8695）

Springer, c2014

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タイトル別名

Computer vision -- ECCV 2014 : 13th European conference Zurich, Switzerland, September 2014 : proceedings

注記

Includes bibliographical references and index

"LNCS sublibrary: SL 6 - Image Processing, Computer Vision, Pattern Recognition"--T.p. verso

内容説明・目次

巻冊次

pt. 3 ISBN 9783319105772

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces.- Pipe-Run Extraction and Reconstruction from Point Clouds.- Image-Based 4-d Reconstruction Using 3-d Change Detection.- VocMatch: Efficient Multiview Correspondence for Structure from Motion.- Robust Global Translations with 1DSfM.- Comparing Salient Object Detection Results without Ground Truth.- RGBD Salient Object Detection: A Benchmark and Algorithms.- Saliency Detection with Flash and No-flash Image Pairs.- Alpha Matting of Motion-Blurred Objects in Bracket Sequence Images.- An Active Patch Model for Real World Texture and Appearance Classification.- Material Classification Based on Training Data Synthesized Using a BTF Database.- Deja Vu: Motion Prediction in Static Images.- Transfer Learning Based Visual Tracking with Gaussian Processes Regression.- Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds.- Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation.- Local Estimation of High Velocity Optical Flow with Correlation Image Sensor.- Rank Minimization with Structured Data Patterns.- Duality and the Continuous Graphical Model.- Spectral Clustering with a Convex Regularizer on Millions of Images.- Riemannian Sparse Coding for Positive Definite Matrices.- Robust Sparse Coding and Compressed Sensing with the Difference Map.- Object Co-detection via Efficient Inference in a Fully-Connected CRF.- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.- Context as Supervisory Signal: Discovering Objects with Predictable Context.- Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval.- Multi-class Open Set Recognition Using Probability of Inclusion.- Sequential Max-Margin Event Detectors.- Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization.- Object Detection and Viewpoint Estimation with Auto-masking Neural Network.- Statistical and Spatial Consensus Collection for Detector Adaptation.- Deep Learning of Scene-Specific Classifier for Pedestrian Detection.- A Contour Completion Model for Augmenting Surface Reconstructions.- Interactive Object Counting.- Recognizing City Identity via Attribute Analysis of Geo-tagged Images.- A Fast and Simple Algorithm for Producing Candidate Regions.- Closed-Form Approximate CRF Training for Scalable Image Segmentation.- A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model.- Finding Approximate Convex Shapes in RGBD Images.- ShapeForest: Building Constrained Statistical Shape Models with Decision Trees.- Optimizing Ranking Measures for Compact Binary Code Learning.- Exploiting Low-Rank Structure from Latent Domains for Domain Generalization.- Sparse Additive Subspace Clustering.- Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics.- Recognizing Complex Events in Videos by Learning Key Static-Dynamic Evidences.- A Hierarchical Representation for Future Action Prediction.- Continuous Learning of Human Activity Models Using Deep Nets.- DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition.- Spatio-temporal Object Detection Proposals.- Depth-of-Field and Coded Aperture Imaging on XSlit Lens.- Refraction Wiggles for Measuring Fluid Depth and Velocity from Video.- Blind Deblurring Using Internal Patch Recurrence.- Crisp Boundary Detection Using Pointwise Mutual Information.- Physically Grounded Spatio-temporal Object Affordances.

巻冊次

pt. 7 ISBN 9783319105833

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

Person Re-Identification Using Kernel-Based Metric Learning Methods.- Saliency in Crowd.- Webpage Saliency.- Deblurring Face Images with Exemplars.- Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution.- Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information.- Affine Subspace Representation for Feature Description.- A Generative Model for the Joint Registration of Multiple Point Sets.- Change Detection in the Presence of Motion Blur and Rolling Shutter Effect.- An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions.- OpenDR: An Approximate Differentiable Renderer.- A Superior Tracking Approach: Building a Strong Tracker through Fusion.- Training-Based Spectral Reconstruction from a Single RGB Image.- On Shape and Material Recovery from Motion.- Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals.- Multi-level Adaptive Active Learning for Scene Classification.- Graph Cuts for Supervised Binary Coding.- Planar Structure Matching under Projective Uncertainty for Geolocation.- Active Deformable Part Models Inference.- Simultaneous Detection and Segmentation.- Learning Graphs to Model Visual Objects across Different Depictive Styles.- Analyzing the Performance of Multilayer Neural Networks for Object Recognition.- Learning Rich Features from RGB-D Images for Object Detection and Segmentation.- Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification.- OTC: A Novel Local Descriptor for Scene Classification.- Multi-scale Orderless Pooling of Deep Convolutional Activation Features.- Expanding the Family of Grassmannian Kernels: An Embedding Perspective.- Image Tag Completion by Noisy Matrix Recovery.- ConceptMap: Mining Noisy Web Data for Concept Learning.- Shrinkage Expansion Adaptive Metric Learning.- Salient Montages from Unconstrained Videos.- Action-Reaction: Forecasting the Dynamics of Human Interaction.- Creating Summaries from User Videos.- Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow.- Robust Foreground Detection Using Smoothness and Arbitrariness Constraints.- Video Object Co-segmentation by Regulated Maximum Weight Cliques.- Dense Semi-rigid Scene Flow Estimation from RGBD Images.- Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes.- Joint Object Class Sequencing and Trajectory Triangulation (JOST).- Scene Chronology.

巻冊次

pt. 1 ISBN 9783319105895

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

Visual Tracking by Sampling Tree-Structured Graphical Models.- Tracking Interacting Objects Optimally Using Integer Programming.- Learning Latent Constituents for Recognition of Group Activities in Video.- Large-Scale Object Classification Using Label Relation Graphs.- 30Hz Object Detection with DPM V5.- Knowing a Good HOG Filter when You See It: Efficient Selection of Filters for Detection.- Linking People in Videos with "Their" Names Using Coreference Resolution.- Optimal Essential Matrix Estimation via Inlier-Set Maximization.- UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability.- 3D Reconstruction of Dynamic Textures in Crowd Sourced Data.- 3D Interest Point Detection via Discriminative Learning.- Pose Locality Constrained Representation for 3D Human Pose Reconstruction.- Synchronization of Two Independently Moving Cameras without Feature Correspondences.- Multi Focus Structured Light for ecovering Scene Shape and Global Illumination.- Coplanar Common Points in Non-centric Cameras.- SRA: Fast Removal of General Multipath for ToF Sensors.- Sub-pixel Layout for Super-Resolution with Images in the Octic Group.- Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition.- Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition.- Multilinear Wavelets: A Statistical Shape Space for Human Faces.- Distance Estimation of an Unknown Person from a Portrait.- Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model.- Description-Discrimination Collaborative Tracking.- Online, Real-Time Tracking Using a Category-to-Individual Detector.- Robust Visual Tracking with Double Bounding Box Model.- Tractable and Reliable Registration of 2D Point Sets.- Graduated Consistency-Regularized Optimization for Multi-graph Matching.- Optical Flow Estimation with Channel Constancy.- Non-local Total Generalized Variation for Optical Flow Estimation.- Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow.- Hipster Wars: Discovering Elements of Fashion Styles.- From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields.- Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis.- Learning to Rank 3D Features.- Salient Color Names for Person Re-identification.- Learning Discriminative and Shareable Features for Scene Classification.- Image Retrieval and Ranking via Consistently Reconstructing Multi-attribute Queries.- Neural Codes for Image Retrieval.- Architectural Style Classification Using Multinomial Latent Logistic Regression.- Instance Segmentation of Indoor Scenes Using a Coverage Loss.- Superpixel Graph Label Transfer with Learned Distance Metric.- Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images.- A Multi-stage Approach to Curve Extraction.- Geometry Driven Semantic Labeling of Indoor Scenes.- A Novel Topic-Level Random Walk Framework for Scene Image Co-segmentation.- Surface Matching and Registration by Landmark Curve-Driven Canonical Quasiconformal Mapping.- Activity Group Localization by Modeling the Relations among Participants.- Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach.- Semantic Aware Video Transcription Using Random Forest Classifiers.- Ranking Domain-Specific Highlights by Analyzing Edited Videos.- A Multi-transformational Model for Background Subtraction with Moving Cameras.- Visualizing and Understanding Convolutional Networks.- Part-Based R-CNNs for Fine-Grained Category Detection.

巻冊次

pt. 4 ISBN 9783319105925

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

Schwarps: Locally Projective Image Warps Based on 2D Schwarzian Derivatives.- gDLS: A Scalable Solution to the Generalized Pose and Scale Problem.- Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction.- Passive Tomography of Turbulence Strength.- A Non-local Method for Robust Noisy Image Completion.- Improved Motion Invariant Deblurring through Motion Estimation.- Consistent Matting for Light Field Images.- Consensus of Regression for Occlusion-Robust Facial Feature Localization.- Learning the Face Prior for Bayesian Face Recognition.- Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity.- Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis.- Joint Unsupervised Face Alignment and Behaviour Analysis.- Learning a Deep Convolutional Network for Image Super-Resolution.- Discriminative Indexing for Probabilistic Image Patch Priors.- Modeling Video Dynamics with Deep Dynencoder.- Good Image Priors for Non-blind Deconvolution: Generic vs. Specific.- Image Deconvolution Ringing Artifact Detection and Removal via PSF Frequency Analysis.- View-Consistent 3D Scene Flow Estimation over Multiple Frames.- Hand Waving Away Scale.- A Non-Linear Filter for Gyroscope-Based Video Stabilization.- Multi-modal and Multi-spectral Registration for Natural Images.- Using Isometry to Classify Correct/Incorrect 3D-2D Correspondences.- Bilateral Functions for Global Motion Modeling.- VCDB: A Large-Scale Database for Partial Copy Detection in Videos.- Single-Image Super-Resolution: A Benchmark.- Well Begun Is Half Done: Generating High-Quality Seeds for Automatic Image Dataset Construction from Web.- Zero-Shot Learning via Visual Abstraction.- Discovering Groups of People in Images.- Untangling Object-View Manifold for Multiview Recognition and Pose Estimation.- Parameterizing Object Detectors in the Continuous Pose Space.- Jointly Optimizing 3D Model Fitting and Fine-Grained Classification.- Pipelining Localized Semantic Features for Fine-Grained Action Recognition.- Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees.- Deep Features for Text Spotting.- Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections.- Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features.- Selecting Influential Examples: Active Learning with Expected Model Output Changes.- Efficient Sparsity Estimation via Marginal-Lasso Coding.- Continuous Conditional Neural Fields for Structured Regression.- Learning to Rank Using High-Order Information.- Support Vector Guided Dictionary Learning.- Video Object Discovery and Co-segmentation with Extremely Weak Supervision.- Supervoxel-Consistent Foreground Propagation in Video.- Clustering with Hypergraphs: The Case for Large Hyperedges.- Person Re-identification by Video Ranking.- Bayesian Nonparametric Intrinsic Image Decomposition.- Face Detection without Bells and Whistles.- On Image Contours of Projective Shapes.- Programmable Automotive Headlights.- ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration.- Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction.- Total Moving Face Reconstruction.- Automatic Single-View Calibration and Rectification from Parallel Planar Curves.- On Sampling Focal Length Values to Solve the Absolute Pose Problem.

巻冊次

pt. 6 ISBN 9783319105987

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

All-In-Focus Synthetic Aperture Imaging.- Photo Uncrop.- Solving Square Jigsaw Puzzles with Loop Constraints.- Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features.- Spatio-temporal Matching for Human Detection in Video.- Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets.- Facial Landmark Detection by Deep Multi-task Learning.- Joint Cascade Face Detection and Alignment.- Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos.- Crowd Tracking with Dynamic Evolution of Group Structures.- Tracking Using Multilevel Quantizations.- Occlusion and Motion Reasoning for Long-Term Tracking.- MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization.- Robust Motion Segmentation with Unknown Correspondences.- Monocular Multiview Object Tracking with 3D Aspect Parts.- Modeling Blurred Video with Layers.- Efficient Image and Video Co-localization with Frank-Wolfe Algorithm.- Non-parametric Higher-Order Random Fields for Image Segmentation.- Co-Sparse Textural Similarity for Interactive Segmentation.- A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding.- Free-Shape Polygonal Object Localization.- Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations.- Attributes Make Sense on Segmented Objects.- Towards Transparent Systems: Semantic Characterization of Failure Modes.- Orientation Covariant Aggregation of Local Descriptors with Embeddings.- Similarity-Invariant Sketch-Based Image Retrieval in Large Databases.- Discovering Object Classes from Activities.- Weakly Supervised Object Localization with Latent Category Learning.- Food-101 - Mining Discriminative Components with Random Forests.- Latent-Class Hough Forests for 3D Object Detection and Pose Estimation.- FPM: Fine Pose Parts-Based Model with 3D CAD Models.- Learning High-Level Judgments of Urban Perception.- CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows.- Discovering Video Clusters from Visual Features and Noisy Tags.- Category-Specific Video Summarization.- Assessing the Quality of Actions.- HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos.- Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos.- GIS-Assisted Object Detection and Geospatial Localization.- Context-Based Pedestrian Path Prediction.- Sliding Shapes for 3D Object Detection in Depth Images.- Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model.- PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding.- Unfolding an Indoor Origami World.- Joint Semantic Segmentation and 3D Reconstruction from Monocular Video.- A New Variational Framework for Multiview Surface Reconstruction.- Multi-body Depth-Map Fusion with Non-intersection Constraints.- Shape from Light Field Meets Robust PCA.- Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval.- Reverse Training: An Efficient Approach for Image Set Classification.- Real-Time Exemplar-Based Face Sketch Synthesis.- Domain-Adaptive Discriminative One-Shot Learning of Gestures.

巻冊次

pt. 5 ISBN 9783319106014

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

Video Registration to SfM Models.- Soft Cost Aggregation with Multi-resolution Fusion.- Inverse Kernels for Fast Spatial Deconvolution.- Deep Network Cascade for Image Super-resolution.- Spectral Edge Image Fusion: Theory and Applications.- Spatio-chromatic Opponent Features.- Modeling Perceptual Color Differences by Local Metric Learning.- Online Graph-Based Tracking.- Fast Visual Tracking via Dense Spatio-temporal Context Learning.- Extended Lucas-Kanade Tracking.- Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations.- Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation.- Spectra Estimation of Fluorescent and Reflective Scenes by Using Ordinary Illuminants.- Interreflection Removal Using Fluorescence.- Intrinsic Face Image Decomposition with Human Face Priors.- Recovering Scene Geometry under Wavy Fluid via Distortion and Defocus Analysis.- Human Detection Using Learned Part Alphabet and Pose Dictionary.- SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection.- Detecting Snap Points in Egocentric Video with a Web Photo Prior.- Towards Unified Object Detection and Semantic Segmentation.- Foreground Consistent Human Pose Estimation Using Branch and Bound.- Human Pose Estimation with Fields of Parts.-Unsupervised Video Adaptation for Parsing Human Motion.- Training Object Class Detectors from Eye Tracking Data.- Symmetric Objects.- Edge Boxes: Locating Object Proposals from Edges.- Training Deformable Object Models for Human Detection Based on Alignment and Clustering.- Predicting Actions from Static Scenes.- Exploiting Privileged Information from Web Data for Image Categorization.- Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling.- Discriminatively Trained Dense Surface Normal Estimation.- Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects Classification.- Learning Where to Classify in Multi-view Semantic Segmentation.- Semantics: A Medium-Level Model for Real-Time Semantic Scene Understanding.- Sparse Dictionaries for Semantic Segmentation.- Video Action Detection with Relational Dynamic-Poselets.- Action Recognition with Stacked Fisher Vectors.- A Discriminative Model with Multiple Temporal Scales for Action Prediction.- Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions.- Weakly Supervised Action Labeling in Videos under Ordering Constraints.- Active Random Forests: An Application to Autonomous Unfolding of Clothes.- Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects.- Convexity Shape Prior for Segmentation.- Pseudo-bound Optimization for Binary Energies.- A Closer Look at Context: From Coxels to the Contextual Emergence of Object Saliency.- Geodesic Object Proposals.- Microsoft COCO: Common Objects in Context.- Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation.- Robust Bundle Adjustment Revisited.- Accurate Intrinsic Calibration of Depth Camera with Cuboids.- Statistical Pose Averaging with Non-isotropic and Incomplete Relative Measurements.- A Pot of Gold: Rainbows as a Calibration Cue.- Let There Be Color! Large-Scale Texturing of 3D Reconstructions.

巻冊次

pt. 2 ISBN 9783319106045

内容説明

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

目次

Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment.- From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices.- Pose Machines: Articulated Pose Estimation via Inference Machines.- Piecewise-Planar StereoScan: Structure and Motion from Plane Primitives.- Nonrigid Surface Registration and Completion from RGBD Images.- Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction.- Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice.- As-Rigid-As-Possible Stereo under Second Order Smoothness Priors.- Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional.- A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors.- Efficient Color Constancy with Local Surface Reflectance Statistics.- A Contrast Enhancement Framework with JPEG Artifacts Suppression.- Radial Bright Channel Prior for Single Image Vignetting Correction.- Tubular Structure Filtering by Ranking Orientation Responses of Path Operators.- Optimization-Based Artifact Correction for Electron Microscopy Image Stacks.- Metric-Based Pairwise and Multiple Image Registration.- Canonical Correlation Analysis on Riemannian Manifolds and Its Applications.- Scalable 6-DOF Localization on Mobile Devices.- On Mean Pose and Variability of 3D Deformable Models.- Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians.- What Do I See? Modeling Human Visual Perception for Multi-person Tracking.- Consistent Re-identification in a Camera Network.- Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects.- Intrinsic Video.- Robust and Accurate Non-parametric Estimation of Reflectance Using Basis Decomposition and Correction Functions.- Intrinsic Textures for Relightable Free-Viewpoint Video.- Reasoning about Object Affordances in a Knowledge Base Representation.- Binary Codes Embedding for Fast Image Tagging with Incomplete Labels.- Recognizing Products: A Per-exemplar Multi-label Image Classification Approach.- Part-Pair Representation for Part Localization.- Weakly Supervised Learning of Objects, Attributes and Their Associations.- Interestingness Prediction by Robust Learning to Rank.- Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC.- Robust Instance Recognition in Presence of Occlusion and Clutter.- Learning 6D Object Pose Estimation Using 3D Object Coordinates.- Growing Regression Forests by Classification: Applications to Object Pose Estimation.- Stacked Deformable Part Model with Shape Regression for Object Part Localization.- Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation.- Self-explanatory Sparse Representation for Image Classification.- Efficient k-Support Matrix Pursuit.- Geodesic Regression on the Grassmannian.- Model Selection by Linear Programming.- Perceptually Inspired Layout-Aware Losses for Image Segmentation.- Large Margin Local Metric Learning.- Movement Pattern Histogram for Action Recognition and Retrieval.- Pose Filter Based Hidden-CRF Models for Activity Detection.- Action Recognition Using Super Sparse Coding Vector with Spatio-temporal Awareness.- HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition.- Natural Action Recognition Using Invariant 3D Motion Encoding.- Detecting Social Actions of Fruit Flies.- Progressive Mode-Seeking on Graphs for Sparse Feature Matching.- Globally Optimal Inlier Set Maximization with Unknown Rotation and Focal Length.- Match Selection and Refinement for Highly Accurate Two-View Structure from Motion.- LSD-SLAM: Large-Scale Direct Monocular SLAM.

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詳細情報

• NII書誌ID(NCID): BB17933549
• ISBN:
  • 9783319105895
  • 9783319106045
  • 9783319105772
  • 9783319105925
  • 9783319106014
  • 9783319105987
  • 9783319105833
• LCCN: 2014946360
• 出版国コード: sz
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cham
• ページ数/冊数: 7 v.
• 大きさ: 24 cm
• 分類:
  • DC23 : 006.37
• 件名:
  • LCSH : Computer vision -- Congresses
  • LCSH : Image processing -- Digital techniques -- Congresses
  • FREE : ECCV
• 親書誌ID:
  • BA00009279