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25th symposium of the german association for pattern recognition, DAGM 2003

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25th symposium of the german association for pattern recognition, DAGM 2003

ISBN: (纸本)3540408614

the proceedings contain 77 papers. the special focus in this conference is on pattern recognition. the topics include: Coherence-enhancing shock filters;spherical decision surfaces using conformal modelling;median filtering of tensor-valued images;edge and junction detection with an improved structure tensor;optimal scale selection for circular edge extraction;localization of piled boxes by means of the hough transform;training and recognition of complex scenes using a holistic statistical model;combining white-patch retinex and the gray world assumption to achieve color constancy for multiple illuminants;method of creating of functional invariants under one-parameter geometric image transformations;3D reconstruction of human skeleton from single images or monocular video sequences;shape preservation during digitization;evaluation of uniform and non-uniform optical flow techniques using finite element methods;colour image analysis in 3D-polar coordinates;pixel classification by divergence-based integration of multiple texture methods and its application to fabric defect detection;a probabilistic definition of intrinsic dimensionality for images;learning human-like opponent behavior for interactive computer games;rotationally invariant wavelet shrinkage;hierarchical method for stereophotogrammetric multi-object-position measurement;using an active shape structural model for biometric sketch recognition;domain decomposition for parallel variational optical flow computation;system concept for image sequence classification in laser welding;comparing clustering methods for database categorization in image retrieval;new perspectives for pattern recognition;projective reconstruction of surfaces of revolution and empirical analysis of detection cascades of boosted classifiers for rapid object detection.

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42nd german Conference on pattern recognition, DAGM GCPR 2020 held in parallel with 25th International symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2020

42nd German Conference on Pattern Recognition, DAGM GCPR 202...

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42nd german Conference on pattern recognition, DAGM GCPR 2020 held in parallel with 25th International symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2020

ISBN: (纸本)9783030712778

the proceedings contain 34 papers. the special focus in this conference is on pattern recognition. the topics include: Adversarial Synthesis of Human Pose from Text;long-Term Anticipation of Activities with Cycle Consistency;multi-stage Fusion for One-Click Segmentation;neural Architecture Performance Prediction Using Graph Neural Networks;discovering Latent Classes for Semi-supervised Semantic Segmentation;Riemannian SOS-Polynomial Normalizing Flows;automated Water Segmentation and River Level Detection on Camera Images Using Transfer Learning;Does SGD Implicitly Optimize for Smoothness?;Looking Outside the Box: the Role of Context in Random Forest Based Semantic Segmentation of PolSAR Images;semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations;haar Wavelet Based Block Autoregressive Flows for Trajectories;center3D: Center-Based Monocular 3D Object Detection with Joint Depth Understanding;constellation Codebooks for Reliable Vehicle Localization;towards Bounding-Box Free Panoptic Segmentation;proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks;unsupervised Part Discovery by Unsupervised Disentanglement;on the Lifted Multicut Polytope for Trees;conditional Invertible Neural Networks for Diverse Image-to-Image Translation;image Inpainting with Learnable Feature Imputation;4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving;bias Detection and Prediction of Mapping Errors in Camera Calibration;inline Double Layer Depth Estimation with Transparent Materials;a Differentiable Convolutional Distance Transform Layer for Improved Image Segmentation;PET-Guided Attention Network for Segmentation of Lung Tumors from PET/CT Images;self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models;multimodal Semantic Forecasting Based on Conditional Generation of Future Features;learning to Identify Physical Parameters from Video Using Differentiable

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26th german association for pattern recognition symposium, DAGM 2004

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26th DAGM symposium on pattern recognition, 2004

ISBN: (纸本)3540229450

the proceedings contain 70 papers. the special focus in this conference is on Learning, Bayesian Approaches, Vision and Faces. the topics include: Predictive discretization during model selection;adaptive feature selection in image segmentation;semi-supervised kernel regression using whitened function classes;kernel density estimation and intrinsic alignment for knowledge-driven segmentation;efficient approximations for support vector machines in object detection;efficient computation of optical flow using the census transform;poi detection using channel clustering and the 2d energy tensor;hierarchical image segmentation based on semidefinite programming;scale-invariant object categorization using a scale-adaptive mean-shift search;phase based image reconstruction in the monogenic scale space;minover revisited for incremental support-vector-classification;SVM-based feature selection by direct objective minimisation;learning from labeled and unlabeled data using random walks;multivariate regression via stiefel manifold constraints;shape from shading under coplanar light sources;silhouette based human motion estimation;cooperative optimization for energy minimization in computer vision;a stratified self-calibration method for a stereo rig in planar motion with varying intrinsic parameters;recognition of deictic gestures with context;accurate and efficient approximation of the continuous Gaussian scale-space;a statistical measure for evaluating regions-of-interest based attention algorithms;an algorithm for fast pattern recognition with random spikes;level set based image segmentation with multiple regions;robust pose estimation for arbitrary objects in complex scenes;a probabilistic framework for robust and accurate matching of point clouds and snake-aided automatic organ delineation.

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Splines and wavelets: New perspectives for pattern recognition

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25th pattern recognition symposium of the german-association-for-pattern-recognition

作者： Unser, M Ecole Polytech Fed Lausanne Swiss Fed Inst Technol Biomed Imaging Grp CH-1015 Lausanne Switzerland

ISBN: (纸本)3540408614

We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. the presentation is divided in three parts. In the first one, we argue that the spline representation is ideally suited for all processing tasks that require a continuous model of the underlying signals or images. We show that most forms of spline fitting (interpolation, least-squares approximation, smoothing splines) can be performed most efficiently using recursive digital filtering. We also discuss the connection between splines and Shannon's sampling theory. In the second part, we illustrate their use in pattern recognition with the help of a few examples: high-quality interpolation of medical images, computation of image differentials for feature extraction, B-spline snakes, image registration, and estimation of optical flow. In the third and last part, we discuss the fundamental role of splines in wavelet theory. After a brief review of some key wavelet concepts, we show that every wavelet can be expressed as a convolution product between a B-spline and a distribution. the B-spline constitutes the regular part of the wavelet and is entirely responsible for its key mathematical properties. We also describe fractional B-spline wavelet bases, which have the unique property of being continuously adjustable. As the order of the spline increases, these wavelets converge to modulated Gaussians which are optimally localized in time (or space) and frequency.

关键词： Interpolation

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pattern recognition 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Axel Pinz thomas Pock Horst Bischof Franz Leberl

ISBN: (数字)9783642327179

ISBN: (纸本)9783642327162

this book constitutes the refereed proceedings of the 34th symposium of the german association for pattern recognition, DAGM 2012, and the 36th symposium of the Austrian association for pattern recognition, OAGM 2012, held in Graz, Austria, in August 2012.;the 27 revised full papers and 23 revised poster papers were carefully reviewed and selected from 98 submissions. the papers are organized in topical sections on segmentation, low-level vision, 3D reconstruction, recognition, applications, learning, and features.

关键词： pattern recognition Image Processing and Computer Vision Artificial Intelligence Computer Graphics Computer Imaging, Vision, pattern recognition and Graphics

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pattern recognition: 27th DAGM symposium. Proceedings

Pattern Recognition: 27th DAGM Symposium. Proceedings

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27th DAGM (german association for pattern recognition) symposium, DAGM 2005

the proceedings contain 62 papers from pattern recognition: 27th DAGM symposium. Proceedings. the topics discussed include: probabilistic color optical flow;lens model selection for visual tracking;omnidirectional vision with frontal stereo;stereo vision based reconstruction of huge urban areas from an airborne pushbroom camera (HRSC);simple solvers for large quadratic programming tasks;agglomerative grouping of observations by bounding entropy variation;robust parallel speech recognition in multiple energy bands;pronunciation feature extraction;projective model for central cataleptic cameras using Clifford algebra;a method for fast search of variable regions on dynamic 3D point clouds;and a system for Marker-less human motion estimation.

关键词： pattern recognition

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Ultra low bit-rate video communication video coding = pattern recognition

Ultra low bit-rate video communication video coding = Patter...

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25th PCS: Picture Coding symposium 2006, PCS2006

作者： Lee, Hung-Son Söderström, Ulrik Li, Haibo Digital Media Lab. Department of Applied Physics and Electronics Umeå University 901-87 Umeå Sweden

ISBN: (纸本)300018726X

In this paper we introduce an ultra low bit-rate video communication scheme, which enables real-time video communication at a bitrate of as low as 100 bits/s. the magic behind this scheme is that the receiver will keep a personal facial mimic gallery and the transmitter tells which video frame the receiver should pick out from the gallery and display. Since only the index of video frames is transmitted, ultra-low communication bandwidth is needed. In the paper we describe how the video communication system works and how to handle the jitter problem in playback of reconstructed video with the locally linear embedding tool.

关键词： pattern recognition

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Monitoring Current Variation using pattern recognition Algorithm Implemented in Automotive DC Driving Servomechanism 25

Monitoring Current Variation using Pattern Recognition Algor...

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IEEE 25th International symposium for Design and Technology in Electronic Packaging (SIITME)

作者： Nistor, N. Baicu, L. Dumitrascu, B. Dunarea de Jos Univ Galati Dept Elect & Telecommun Galati Romania

ISBN: (纸本)9781728133300

In this paper the authors consider the problem monitoring of the drawn current by the main power rail that powers multiple consumers (servomechanisms, actuators, electromagnets, stepper or DC motors) present in cars, in order to protect the equipment present on board a car or to increase the reliability of electromechanical systems. the idea is to scan the supply current of a device connected to the main power rail using a very sensitive shunt and to store this data using a development board with a microcontroller and implementing maps of the currents that will be supplied to specific consumers. the board operates in two stages. the first stage involves memorizing the shape currents and storing the data in a memory zone. the second stage assists the current utilization of the equipment by using a software block to recognize the shape of the current. recognition of the current shape and classification of the current event into nominal or faulty operation will be done using byte oriented comparisons initially and using a variable error filter afterwards using "running average" which will be presented below. Preliminary results were done on a 16-bit microcontroller.

关键词： Current monitoring running average signal synchronization prototype signal form recognition servomechanism microcontroller process

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pattern recognition 1

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丛书名： Lecture Notes in Computer Science

1000年

ISBN: (数字)9783540693215

ISBN: (纸本)9783540693208

this book constitutes the refereed proceedings of the 30th symposium of the german association for pattern recognition, DAGM 2008, held in Munich, germany, in June 2008. the 53 revised full papers were carefully reviewed and selected from 136 submissions. the papers are organized in topical sections on learning and classification, tracking, medical image processing and segmentation, audio, speech and handwriting recognition, multiview geometry and 3D-reconstruction, motion and matching, and image analysis.

关键词： pattern recognition Programming Techniques Computer Applications Image Processing and Computer Vision Artificial Intelligence Computer Graphics

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pattern recognition - Joint 34th DAGM and 36th OAGM symposium, Proceedings

Pattern Recognition - Joint 34th DAGM and 36th OAGM Symposiu...

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Joint 34th symposium of the german association for pattern recognition, DAGM 2012 and 36th symposium of the Austrian association for pattern recognition, OAGM 2012

ISBN: (纸本)9783642327162

the proceedings contain 50 papers. the topics discussed include: as time goes by-anytime semantic segmentation with iterative context forests;interactive labeling of image segmentation hierarchies;hierarchy of localized random forests for video annotation;curvature prior for MRF-based segmentation and shape inpainting;anisotropic range image integration;modeling of sparsely sampled tubular surfaces using coupled curves;shape (self-)similarity and dissimilarity rating for segmentation and matching;dense 3D reconstruction with a hand-held camera;OUR-CVFH - oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6DOF pose estimation;3D object recognition and pose estimation for multiple objects using multi-prioritized RANSAC and model updating;classification with global, local and shared features;and eye localization using the discriminative generalized Hough transform.

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