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  • Produktbild: Computer Vision -- ACCV 2014
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Computer Vision -- ACCV 2014 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II

Aus der Reihe Lecture Notes in Computer Science

48,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2015

Abbildungen

XX, 346 illus., schwarz-weiss Illustrationen

Herausgeber

Daniel Cremers + weitere

Verlag

Springer

Seitenzahl

709

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1101 g

Auflage

2015

Sprache

Englisch

ISBN

978-3-319-16807-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2015

Abbildungen

XX, 346 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

709

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1101 g

Auflage

2015

Sprache

Englisch

ISBN

978-3-319-16807-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computer Vision -- ACCV 2014
  • Produktbild: Computer Vision -- ACCV 2014

  • Multi-view Geometry Compression.- Camera Calibration Based on the Common Self-polar Triangle of Sphere Images.- Multi-scale Tetrahedral Fusion of a Similarity Reconstruction and Noisy Positional Measurements.- DEPT: Depth Estimation by Parameter Transfer for Single Still Images.- Object Ranking on Deformable Part Models with Bagged Lambda MART.- Representation Learning with Smooth Auto encoder.- Single Image Smoke Detection.- Adaptive Sparse Coding for Painting Style Analysis.- Efficient Image Detail Mining.- Accuracy and Specificity Trade-off in k-nearest Neighbors Classification.- Multi-view Point Cloud Registration Using Affine Shape Distributions.- Part Detector Discovery in Deep Convolutional Neural Networks.- Performance Evaluation of 3D Local Feature Descriptors.- Scene Text Detection Based on Robust Stroke Width Transform and Deep Belief Network.- Cross-Modal Face Matching: Beyond Viewed Sketches.- 3D Aware Correction and Completion of Depth Maps in Piecewise Planar Scenes.- Regularity Guaranteed Human Pose Correction.- Accelerated Kmeans Clustering Using Binary Random Projection.- Divide and Conquer: Efficient Large-Scale Structure from Motion Using Graph Partitioning.- A Homography Formulation to the 3pt Plus a Common Direction Relative Pose Problem.- MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation.- Accelerating Cost Volume Filtering Using Salient Subvolumes and Robust Occlusion Handling.- 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network.- Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning.- Understanding Convolutional Neural Networks in Terms of Category-Level Attributes.- Robust Scene Classification with Cross-Level LLC Coding on CNN Features.- A Graphical Model for Rapid Obstacle Image-Map Estimation from Unmanned Surface Vehicles.- On the Performance of Pose-Based RGB-D Visual NavigationSystems.- Elastic Shape Analysis of Boundaries of Planar Objects with Multiple Components and Arbitrary Topologies.- A Minimal Solution to Relative Pose with Unknown Focal Length and Radial Distortion.- Simultaneous Entire Shape Registration of Multiple Depth Images Using Depth Difference and Shape Silhouette.- Joint Camera Pose Estimation and 3D Human Pose Estimation in a Multi-camera Setup.- Singly-Bordered Block-Diagonal Form for Minimal Problem Solvers.- Stereo Fusion Using a Refractive Medium on a Binocular Base.- Saliency Detection via Nonlocal L0 Minimization.- N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms.- Super-Resolution Using Sub-Band Self-Similarity.- Raindrop Detection and Removal from Long Range Trajectories.- Interest Points via Maximal Self-Dissimilarities.- Improving Local Features by Dithering-Based Image Sampling.- Sparse Kernel Learning for Image Set Classification.- Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning.- Texture Classification Using Dense Micro-block Difference (DMD).- Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition.- Segmentation of X-ray Images by 3D-2D Registration Based on Multibody Physics.- View-Adaptive Metric Learning for Multi-view Person Re-identification.