The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reco...
ISBN:
(纸本)0769519008
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reconstruction;accurately estimating sherd 3D surface geometry with application to pot reconstruction;application of structured illumination in nano-scale vision;noise adaptive channel smoothing of low-dose images;indirect symbolic correlation approach to unsegmented text recognition;background line detection with a stochastic model;estimating tracking sources and sinks;generic event detection in sports video using cinematic features;towards perceptual interface for visualization navigation of large data sets;coevolutionary computation for synthesis of recognition systems;mirror shape recovery from image curves and intrinsic parameters: rotationally symmetric and conic mirrors;parametric subpixel matchpoint recovery with uncertainty estimation: a statistical approach;and tracking random sets of vehicles in terrain.
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reco...
ISBN:
(纸本)0769519008
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reconstruction;accurately estimating sherd 3D surface geometry with application to pot reconstruction;application of structured illumination in nano-scale vision;noise adaptive channel smoothing of low-dose images;indirect symbolic correlation approach to unsegmented text recognition;background line detection with a stochastic model;estimating tracking sources and sinks;generic event detection in sports video using cinematic features;towards perceptual interface for visualization navigation of large data sets;coevolutionary computation for synthesis of recognition systems;mirror shape recovery from image curves and intrinsic parameters: rotationally symmetric and conic mirrors;parametric subpixel matchpoint recovery with uncertainty estimation: a statistical approach;and tracking random sets of vehicles in terrain.
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reco...
ISBN:
(纸本)0769519008
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reconstruction;accurately estimating sherd 3D surface geometry with application to pot reconstruction;application of structured illumination in nano-scale vision;noise adaptive channel smoothing of low-dose images;indirect symbolic correlation approach to unsegmented text recognition;background line detection with a stochastic model;estimating tracking sources and sinks;generic event detection in sports video using cinematic features;towards perceptual interface for visualization navigation of large data sets;coevolutionary computation for synthesis of recognition systems;mirror shape recovery from image curves and intrinsic parameters: rotationally symmetric and conic mirrors;parametric subpixel matchpoint recovery with uncertainty estimation: a statistical approach;and tracking random sets of vehicles in terrain.
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reco...
ISBN:
(纸本)0769519008
The proceedings contain 99 papers. The topics discussed include: fast fragment assemblage using boundary line and surface matching;archaeological fragment reconstruction using curve-matching;profile-based pottery reconstruction;accurately estimating sherd 3D surface geometry with application to pot reconstruction;application of structured illumination in nano-scale vision;noise adaptive channel smoothing of low-dose images;indirect symbolic correlation approach to unsegmented text recognition;background line detection with a stochastic model;estimating tracking sources and sinks;generic event detection in sports video using cinematic features;towards perceptual interface for visualization navigation of large data sets;coevolutionary computation for synthesis of recognition systems;mirror shape recovery from image curves and intrinsic parameters: rotationally symmetric and conic mirrors;parametric subpixel matchpoint recovery with uncertainty estimation: a statistical approach;and tracking random sets of vehicles in terrain.
The proceedings contain 192 papers. The topics discussed include: feature vector compression based on least error quantization;a comprehensive analysis of deep learning based representation for face recognition;two-st...
ISBN:
(纸本)9781467388504
The proceedings contain 192 papers. The topics discussed include: feature vector compression based on least error quantization;a comprehensive analysis of deep learning based representation for face recognition;two-stream CNNs for gesture-based verification and identification: learning user style;CALIPER: continuous authentication layered with integrated PKI encoding recognition;latent fingerprint image segmentation using fractal dimension features and weighted extreme learning machine ensemble;a comparison of human and automated face verification accuracy on unconstrained image sets;offline signature verification based on bag-of-VisualWords model using KAZE features and weighting schemes;implementation of fixed-length template protection based on homomorphic encryption with application to signature biometrics;seeing the forest from the trees: a holistic approach to near-infrared heterogeneous face recognition;a novel visualization tool for evaluating the accuracy of 3d sensing and reconstruction algorithms for automatic dormant pruning applications;a pointing gesture based egocentric interaction system: dataset, approach and application;multimodal multi-stream deep learning for egocentric activity recognition;sparse kernel machines for discontinuous registration and nonstationary regularization;and accurate small deformation exponential approximant to integrate large velocity fields: application to image registration.
The proceedings contain 280 papers. The topics discussed include: the role of synchronic causal conditions in visual knowledge learning;attention-based natural language person retrieval;Singlets: multi-resolution moti...
ISBN:
(纸本)9781538607336
The proceedings contain 280 papers. The topics discussed include: the role of synchronic causal conditions in visual knowledge learning;attention-based natural language person retrieval;Singlets: multi-resolution motion singularities for soccer video abstraction;hockey action recognition via integrated stacked hourglass network;extraction and classification of diving clips from continuous video footage;accurate and efficient 3D human pose estimation algorithm using single depth images for pose analysis in golf;athlete pose estimation by a global-local network;continuous video to simple signals for swimming stroke detection with convolutional neural networks;application of computervision and vector space model for tactical movement classification in badminton;automatic tactical adjustment in real-time: modeling adversary formations with radon-cumulative distribution transform and canonical correlation analysis;infrared variation optimized deep convolutional neural network for robust automatic ground target recognition;an algorithm for parallel reconstruction of jointly sparse tensors with applications to hyperspectral imaging;deep heterogeneous face recognition networks based on cross-modal distillation and an equitable distance metric;face presentation attack with latex masks in multispectral videos;privacy-preserving understanding of human body orientation for smart meetings;and fast, accurate thin-structure obstacle detection for autonomous mobile robots.
The proceedings contain 539 papers. The topics discussed include: fast and accurate image matching with cascade hashing for 3D reconstruction;minimal solvers for relative pose with a single unknown radial distortion;s...
ISBN:
(纸本)9781479951178
The proceedings contain 539 papers. The topics discussed include: fast and accurate image matching with cascade hashing for 3D reconstruction;minimal solvers for relative pose with a single unknown radial distortion;spectral graph reduction for efficient image and streaming video segmentation;video motion segmentation using new adaptive manifold denoising model;event detection using multi-level relevance labels and multiple features;full-angle quaternions for robustly matching vectors of 3D rotations;semi-supervised spectral clustering for image set classification;learning mid-level filters for person re-identification;DeepReID: deep filter pairing neural network for person re-identification;NMF-KNN: image annotation using weighted multi-view non-negative matrix factorization;beyond comparing image pairs: setwise active learning for relative attributes;and histograms of pattern sets for image classification and object recognition.
We present a quantitative evaluation of Matrioska, a novel framework for the detection and tracking in real-time of unknown object in a video stream, on the LTDT2014 dataset that includes six sequences for the evaluat...
详细信息
ISBN:
(纸本)9781479943098
We present a quantitative evaluation of Matrioska, a novel framework for the detection and tracking in real-time of unknown object in a video stream, on the LTDT2014 dataset that includes six sequences for the evaluation of single-object long-term visual trackers. Matrioska follows the approach of tracking by detection: the detector localizes the target object in each frame, using multiple keypoint-based methods. To account for appearance changes, the learning module updates both the target object and background model with a growing and pruning approach.
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