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Computer Vision -- Eccv 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV

ISBN-13: 9783319105925 / Angielski / Miękka / 2014 / 848 str.

David Fleet; Tomas Pajdla; Bernt Schiele
Computer Vision -- Eccv 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV Fleet, David 9783319105925 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Computer Vision -- Eccv 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV

ISBN-13: 9783319105925 / Angielski / Miękka / 2014 / 848 str.

David Fleet; Tomas Pajdla; Bernt Schiele
cena 200,77
(netto: 191,21 VAT:  5%)

Najniższa cena z 30 dni: 192,74
Termin realizacji zamówienia:
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Dostawa w 2026 r.

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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.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Software Development & Engineering - Computer Graphics
Computers > Artificial Intelligence - Computer Vision & Pattern Recognition
Wydawca:
Springer
Seria wydawnicza:
Lecture Notes in Computer Science / Image Processing, Comput
Język:
Angielski
ISBN-13:
9783319105925
Rok wydania:
2014
Wydanie:
2014
Numer serii:
000379993
Ilość stron:
848
Waga:
1.19 kg
Wymiary:
23.39 x 15.6 x 4.39
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Komentarz
Wydanie ilustrowane

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. 



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