the proceedings contain 5 papers. the topics discussed include: interactive graphics applications with OPENGL shading language and;cloud and mobile web-based graphics and visualization;kinect and RGBD images: challeng...
ISBN:
(纸本)9780769548302
the proceedings contain 5 papers. the topics discussed include: interactive graphics applications with OPENGL shading language and;cloud and mobile web-based graphics and visualization;kinect and RGBD images: challenges and applications;transparency and anti-aliasing techniques for real-time rendering;and a survey of GLSL examples.
the proceedings contain 15 papers. the topics discussed include: a review of texture classification methods and databases;face analysis in the wild;everything you wanted to know about deep learning for computer vision...
ISBN:
(纸本)9781538606193
the proceedings contain 15 papers. the topics discussed include: a review of texture classification methods and databases;face analysis in the wild;everything you wanted to know about deep learning for computer vision but were afraid to ask;and geometric data analysis based on manifold learning with applications for image understanding.
the proceedings contain 4 papers. the topics discussed include: getting started with videogame development;visual immersion issues in virtual reality: a survey;remote eye tracking systems: technologies and application...
ISBN:
(纸本)9781479941766
the proceedings contain 4 papers. the topics discussed include: getting started with videogame development;visual immersion issues in virtual reality: a survey;remote eye tracking systems: technologies and applications;and remote sensing image segmentation and representation through multiscale analysis.
the proceedings contain 4 papers. the topics discussed include: introduction to research in magnetic resonance imaging;an overview of max-tree principles, algorithms and applications;tensor fields for multilinear imag...
ISBN:
(纸本)9781509044344
the proceedings contain 4 papers. the topics discussed include: introduction to research in magnetic resonance imaging;an overview of max-tree principles, algorithms and applications;tensor fields for multilinear image representation and statistical learning models applications;and image operator learning and applications.
the proceedings contain 5 papers. the topics discussed include: combining classifiers: from the creation of ensembles to the decision fusion;discriminant component analysis and self-organized manifold mapping for expl...
ISBN:
(纸本)9780769545493
the proceedings contain 5 papers. the topics discussed include: combining classifiers: from the creation of ensembles to the decision fusion;discriminant component analysis and self-organized manifold mapping for exploring and understanding image face spaces;a gentle introduction to coded computational photography;Adessowiki: collaborative scientific programming environment;and high level computer vision using OpenCV.
the proceedings contain 53 papers. the topics discussed include: machine learning bias in computer vision: why do I have to care?;training deep networks from zero to hero: avoiding pitfalls and going beyond;neural net...
ISBN:
(纸本)9781665423540
the proceedings contain 53 papers. the topics discussed include: machine learning bias in computer vision: why do I have to care?;training deep networks from zero to hero: avoiding pitfalls and going beyond;neural networks for implicit representations of 3D scenes;gravity alignment for single panorama depth inference;gaze estimation via self-attention augmented convolutions;an investigation of 2D keypoints detection on challenging scenarios using depthwise separable convolutions: a hand pose estimation case study;fast spatial-temporal transformer network;analyzing the effects of dimensionality reduction for unsupervised domain adaptation;and learning to segment medical images from few-shot sparse labels.
the proceedings contain 54 papers. the topics discussed include: graph feature embeddings for patient re-identification from chest X-ray images;zero-shot synth-to-real depth estimation: from synthetic street scenes to...
ISBN:
(纸本)9798350376036
the proceedings contain 54 papers. the topics discussed include: graph feature embeddings for patient re-identification from chest X-ray images;zero-shot synth-to-real depth estimation: from synthetic street scenes to real-world data;improving FLIM-based salient object detection networks with cellular automata;advanced virtual human modeling with metahumans: focus on genderless characters;a database for soybean seed classification;complex-valued embedding on Gassmann manifolds for pattern set representation;learning visual patterns in remote sensing: an overview of agricultural applications;and spherically-weighted horizontally dilated convolutions for omnidirectional image processing.
the proceedings contain 60 papers. the topics discussed include: monocular visual odometry with cyclic estimation;extending the differential image foresting transform to root-based path-cost functions with application...
ISBN:
(纸本)9781538622193
the proceedings contain 60 papers. the topics discussed include: monocular visual odometry with cyclic estimation;extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation;building structured lighting applications using low-cost cameras;least-squares morphing of dynamic meshes;repairing non-manifold boundaries of segmented simplicial meshes;activity recognition based on a magnitude-orientation stream network;real-time Brazilian license plate detection and recognition using deep convolutional neural networks;fine-tuning infinity restricted Boltzmann machines;and detecting computer generated images with deep convolutional neural networks.
the proceedings contain 60 papers. the topics discussed include: a levels-of-precision approach for simulating multiple physics-based soft tissues;retinal vessel segmentation using parallel grayscale skeletonization a...
ISBN:
(纸本)9781509035687
the proceedings contain 60 papers. the topics discussed include: a levels-of-precision approach for simulating multiple physics-based soft tissues;retinal vessel segmentation using parallel grayscale skeletonization algorithm and mathematical morphology;enhancing the visualization of the microvasculature of extrahepatic bile ducts obtained from confocal microscopy images;information theory-based detection of noisy bit planes in medical images;reducing the number of points on the convex hull calculation using the polar space subdivision in E2;an efficient global point cloud descriptor for object recognition and pose estimation;personalized visual simulation and objective validation of low-order aberrations of the human eye;transmitting what matters: task-oriented video composition and compression;on the use of calibration for pedestrian detection in on-board vehicular cameras;a data augmentation methodology to improve age estimation using convolutional neural networks;single sample face recognition from video via stacked supervised auto-encoder;a novel method for detecting the fovea in fundus images of the eye;efficient object recognition using sampling of keypoint triples and keygraph structure;interactive editing of C1-continuous 2D spline deformations using ECLES method;method based on triangulation for sensor deployment on 3D surfaces;using change-sets to achieve a bounded undo and make tutorials in 3D version control systems;a genetically programmable hybrid virtual reconfigurable architecture for image filtering applications;and a data fusion architecture proposal for visually impaired people.
the proceedings contain 53 papers. the topics discussed include: PTL-AI Furnas dataset: a public dataset for fault detection in power transmission lines using aerial images;a high-spatial resolution dataset and few-sh...
ISBN:
(纸本)9781665453851
the proceedings contain 53 papers. the topics discussed include: PTL-AI Furnas dataset: a public dataset for fault detection in power transmission lines using aerial images;a high-spatial resolution dataset and few-shot deep learning benchmark for image classification;a study on the impact of data augmentation for training convolutional neural networks in the presence of noisy labels;pixel-level class-agnostic object detection using texture quantization;measuring the influence of painters through artwork facial features;explaining noise effects in CNN: a practical case study on volcano signals;identification of the radical component from images of Chinese characters;learning to detect good keypoints to match non-rigid objects in RGB images;improving color homogeneity measure in superpixel segmentation assessment;and a soybean seedlings dataset for soil condition and genotype classification.
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