Computer Vision -- ECCV 2014

13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V

AvDavid Fleet,Tomas Pajdla

Häftad, Engelska, 2014

Del 8693 i serien Lecture Notes in Computer Science

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Beskrivning

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. computational photography and low-level vision; motion and 3D scene analysis;

Produktinformation

Utgivningsdatum:2014-09-22
Mått:155 x 235 x 48 mm
Vikt:1 311 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:853
Förlag:Springer International Publishing AG
ISBN:9783319106014

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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 AdjustmentRevisited.- 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.