Geschäftskunden Kundenprogramme
Vor Ort
Merkzettel Warenkorb

Gutscheinbedingungen

*Gültig bis 20.09.2026 auf (fast) alles. Ausgeschlossen sind Smartboxen, Zeitschriften, Tickets, Lebensmittel, Gaming-Elektroartikel, Tinte/Toner, Gutscheine, Geschenkkarten, Blumen und Abos | Einlösbar in allen Buchhandlungen von Orell Füssli, Barth Bücher, Buchladen Rapunzel, Schuler Orell Füssli, Stauffacher und ZAP unter Vorweisung des Gutscheins, auf www.orellfüssli.ch durch Eingabe des Gutscheincodes. Beim Service „eBooks verschenken“ und bei eBook-Käufen via eReader nicht einlösbar | Mindesteinkaufswert: Fr. 100.- | Nicht mit anderen Rabatten kumulierbar.
  • Produktbild: Pattern Recognition
  • Produktbild: Pattern Recognition
Band 4713

Pattern Recognition 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings

Aus der Reihe Image Processing, Computer Vision, Pattern Recognition, and Graphics

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2007

Abbildungen

XIII, 560 p.

Herausgeber

Fred A. Hamprecht + weitere

Verlag

Springer Berlin

Seitenzahl

560

Maße (L/B/H)

23.5/15.5/3.1 cm

Gewicht

861 g

Sprache

Englisch

ISBN

978-3-540-74933-2

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2007

Abbildungen

XIII, 560 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

560

Maße (L/B/H)

23.5/15.5/3.1 cm

Gewicht

861 g

Sprache

Englisch

ISBN

978-3-540-74933-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Pattern Recognition
  • Produktbild: Pattern Recognition
  • Calibration, Pose Estimation and Depth.- Self-calibration with Partially Known Rotations.- A Combined Approach for Estimating Patchlets from PMD Depth Images and Stereo Intensity Images.- View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results.- Clustered Stochastic Optimization for Object Recognition and Pose Estimation.- Unambiguous Dynamic Diffraction Patterns for 3D Depth Profile Measurement.- Point Matching Constraints in Two and Three Views.- A Multi-view Camera System for the Generation of Real-Time Occlusion-Free Scene Video.- Motion, Tracking and Optical Flow.- Selection of Local Optical Flow Models by Means of Residual Analysis.- Calibration of a Multi-camera Rig from Non-overlapping Views.- Fluid Flow Estimation Through Integration of Physical Flow Configurations.- Rigid Motion Constraints for Tracking Planar Objects.- Detectability of Moving Objects Using Correspondences over Two and Three Frames.- An Analysis-by-Synthesis Camera Tracking Approach Based on Free-Form Surfaces.- An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections.- Bayesian Model Selection for Optical Flow Estimation.- Illumination-Robust Variational Optical Flow with Photometric Invariants.- Online Smoothing for Markerless Motion Capture.- Occlusion Modeling by Tracking Multiple Objects.- Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination.- Recursive Estimation with Implicit Constraints.- Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space.- A Duality Based Approach for Realtime TV-L 1 Optical Flow.- Segmentation.- Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields.- Regularized Data Fusion Improves Image Segmentation.- Perception-Based Image Segmentation Using the Bounded Irregular Pyramid.- Efficient Image Segmentation Using Pairwise Pixel Similarities.- WarpCut – Fast Obstacle Segmentation in Monocular Video.- Filters and Image Improvement.- Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces.- High Accuracy Feature Detection for Camera Calibration: A Multi-steerable Approach.- A Subiteration-Based Surface-Thinning Algorithm with a Period of Three.- Holomorphic Filters for Object Detection.- Peer Group Vector Median Filter.- Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction.- Object and Pattern Recognition.- The Minimum Volume Ellipsoid Metric.- An Attentional Approach for Perceptual Grouping of Spatially Distributed Patterns.- Classifying Glaucoma with Image-Based Features from Fundus Photographs.- Learning to Recognize Faces Incrementally.- Short-Term Tide Prediction.- Extraction of 3D Unfoliaged Trees from Image Sequences Via a Generative Statistical Approach.- Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification.- How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements.- A Fast and Reliable Coin Recognition System.- 3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition.- The kernelHMM: Learning Kernel Combinations in Structured Output Domains.- Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts.- Pedestrian Recognition from a Moving Catadioptric Camera.- Efficient Learning of Neural Networks with Evolutionary Algorithms.- Robust High-Speed Melt Pool Measurements for Laser Welding with Sputter DetectionCapability.- Learning Robust Objective Functions with Application to Face Model Fitting.- Analyzing the Variability of the 3D Structure of Chromatin Fiber Using Statistical Shape Theory.- Registration.- Image-Matching for Revision Detection in Printed Historical Documents.- Stochastic Optimization of Multiple Texture Registration Using Mutual Information.- Curvature Guided Level Set Registration Using Adaptive Finite Elements.- Spline-Based Elastic Image Registration with Matrix-Valued Basis Functions Using Landmark and Intensity Information.- Unifying Energy Minimization and Mutual Information Maximization for Robust 2D/3D Registration of X-Ray and CT Images.