Cantitate/Preț
Produs
Total produse
Vezi coșul
Computer Vision -- ECCV 2014 de David Fleet

Computer Vision -- ECCV 2014: Lecture Notes in Computer Science, cartea 8694

Editat de David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars
en Limba Engleză Paperback – 22 sep 2014
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (7) 34059 lei  6-8 săpt.
  Springer – 22 sep 2014 34059 lei  6-8 săpt.
  Springer – 22 sep 2014 35083 lei  6-8 săpt.
  Springer – 22 sep 2014 35163 lei  6-8 săpt.
  Springer – 22 sep 2014 35185 lei  6-8 săpt.
  Springer – 22 sep 2014 35206 lei  6-8 săpt.
  Springer – 22 sep 2014 35206 lei  6-8 săpt.
  Springer – 22 sep 2014 35206 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 35083 lei

Preț vechi: 43854 lei
-20%

Puncte Express: 526
Preț estimativ în valută:
6199€ • 7146$ • 5412£

Carte tipărită la comandă

Livrare economică 16-30 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783319105987
ISBN-10: 3319105981
Pagini: 860
Ilustrații: XXVI, 832 p. 351 illus.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.28 kg
Ediția:2014
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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 RankRepresentation 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-BasedExplanations.- 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.- ReverseTraining: An Efficient Approach for Image Set Classification.- Real-Time Exemplar-Based Face Sketch Synthesis.- Domain-Adaptive Discriminative One-Shot Learning of Gestures.