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Finger Spelling Recognition from RGB-D Information Using Kernel Descriptor
Deaf people use systems of communication based on sign language and finger spelling. Manual spelling, or finger spelling, is a system where each letter of the alphabet is represented by an unique and discrete movement of the hand. RGB and depth images ...
Feature Learning by Multidimensional Scaling and Its Applications in Object Recognition
We present the MDS feature learning framework, in which multidimensional scaling (MDS) is applied on high-level pair wise image distances to learn fixed-length vector representations of images. The aspects of the images that are captured by the learned ...
Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More
The ever-growing access to high-resolution images has prompted the development of region-based classification methods for remote sensing images. However, in agricultural applications, the recognition of specific regions is still a challenge as there ...
Using Unsupervised Learning for Graph Construction in Semi-supervised Learning with Graphs
Semi-supervised Learning with Graphs can achieve good results in classification tasks even in difficult conditions. Unfortunately, it can be slow and use a lot of memory. The first important step of the graph-based semi-supervised learning approaches is ...
A Multipotential Field Model for Crowds with Scalable Behaviors
Computer simulation of realistic crowd behavior has been the focus of active research for more than two decades now. In crowd simulation, there is usually a trade-off between performance and realistic crowd behavior. In this paper, we propose a model, ...
Applications of Conformal Geometric Algebra in Mesh Deformation
We illustrate the suitability of Conformal Geometric Algebra for representing deformable mesh models. State-of-the-art modeling tools allow the user to deform 3D models (or region of interest) by selecting sets of points on the surface, called "handles",...
Multiphase Flow of Incompressible Fluids Employing Regional Level Set and Volume Control
In this work, the regional level set is employed to track interfaces in multiphase fluid simulations, while considering the behavior of the film between distinct phases. Also, properties of each phase are tracked as they merge or split, and an algorithm ...
Exploiting Space and Time Coherence in Grid-Based Sorting
In recent years, many approaches for real-time simulation of physical phenomena using particles have been proposed. Many of these use 3D grids for representing spatial distributions and employ a collision detection technique where particles must be ...
Change Detection in Human Crowds
This paper presents a method to detect unusual behavior in human crowds based on histograms of velocities in world coordinates. A combination of background removal and optical flow is used to extract the global motion at each image frame, discarding ...
A Tensor Motion Descriptor Based on Multiple Gradient Estimators
This work presents a novel approach for motion description in videos using multiple band-pass filters which act as first order derivative estimators. The filters response on each frame are coded into individual histograms of gradients to reduce their ...
Real-Time Object Tracking in High-Definition Video Using Frame Segmentation and Background Integral Images
Object tracking in video sequences is still a challenging issue in real-time video processing. In this paper we propose an integrated detection and tracking method suitable for high-definition videos at real-time frame rates. In this method we implement ...
Real-Time Detection and Classification of Road Lane Markings
This paper presents a method for detection and recognition of road lane markings using an uncalibrated onboard camera. Initially, lane boundaries are detected based on a linear parabolic model. Then, we build a simple model to represent pixels related ...
MIST: Multiscale Information and Summaries of Texts
- Paulo Pagliosa,
- Rafael Messias Martins,
- Douglas Cedrim,
- Afonso Paiva,
- Rosane Minghim,
- Luis Gustavo Nonato
Combining distinct visual metaphors has been the mechanism adopted by several systems to enable the simultaneous visualization of multiple levels of information in a single layout. However, providing a meaningful layout while avoiding visual clutter is ...
Visualizing Running Races through the Multivariate Time-Series of Multiple Runners
The recent widespread of heart rate (HR) monitors is allowing people to measure body response during and after exercise, which produces a collection of time-series on multivariate aspects, such as heartbeat, speed, geolocation, etc. Such monitoring can ...
Multidimensional Projections to Explore Time-Varying Multivariate Volume Data
Multidimensional Projections (MPs) have become popular as visual data analysis tools in several application domains, including Scientific Visualization. Current techniques are fast, precise and capable of handling local and global data features, having ...
Mixed Integer Optimization for Layout Arrangement
Arranging geometric entities in a two-dimensional layout is a common task for most information visualization applications, where existing algorithms typically rely on heuristics to position shapes such as boxes or discs in a visual space. Geometric ...
Explorable Volumetric Depth Images from Raycasting
View-dependent image-based rendering techniques have become increasingly popular as they combine the high quality of images with the explorability of interactive techniques. However, in the context of volume rendering, previous approaches suffer from ...
Interactive Segmentation by Image Foresting Transform on Superpixel Graphs
There are many scenarios in which user interaction is essential for effective image segmentation. In this paper, we present a new interactive segmentation method based on the Image Foresting Transform (IFT). The method over segments the input image, ...
Parallel Image Segmentation Using Reduction-Sweeps on Multicore Processors and GPUs
In this paper we introduce the Reduction Sweep algorithm, a novel graph-based image segmentation algorithm that is designed for easy parallelization. It is based on a clustering approach focusing on local image characteristics. Each pixel is compared ...
Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions
In the framework of the Image Foresting Transform (IFT), there is a class of connectivity functions that were vaguely explored, which corresponds to the non-smooth connectivity functions (NSCF). These functions are more adaptive to cope with the ...
MRI Iterative Super Resolution with Wiener Filter Regularization
The swallowing process affects several aspects of one's welfare, as nutrition, hydration, respiration and hearing. Magnetic resonance imaging (MRI) has been a valuable tool to study swallowing, since it is a non-invasive procedure that can dynamically ...
Three-Dimensional Face Caricaturing by Anthropometric Distortions
Caricatures are models of persons or things in which certain striking characteristics are exaggerated in order to create a comic or grotesque effect. This paper is concerned with a strategy for automatically generating caricatures of threedimensional ...
Polygonal Mesh Extraction from Digital Voxel Art
This work presents a method to extract polygonal surfaces from volumetric models created by artists, proposing a way of using voxel modeling tools to build B-Rep models. The volumetric data created by voxel editors usually contain topological features ...
Shape Inflation with an Adapted Laplacian Operator for Hybrid Quad/Triangle Meshes
This paper proposes a novel modeling method for a hybrid quad/triangle mesh that allows to set a family of possible shapes by controlling a single parameter, the global curvature. The method uses an original extension of the Laplace Beltrami operator ...
Index Terms
- Proceedings of the 2013 XXVI Conference on Graphics, Patterns and Images