Reverse-tone-mapping operators (rTMOs) enhance low-dynamic-range images and videos for display on high-dynamic-range monitors. A common problem faced by previous rTMOs is the handling of under or overexposed content. ...
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ISBN:
(纸本)9781479942572
Reverse-tone-mapping operators (rTMOs) enhance low-dynamic-range images and videos for display on high-dynamic-range monitors. A common problem faced by previous rTMOs is the handling of under or overexposed content. Under such conditions, they may not be effective, and even cause loss and reversal of visible contrast. We present an rTMO based on cross-bilateral filtering that generates high-quality HDR images and videos for a wide range of exposures. Experiments performed using an objective image quality metric show that our approach is the only technique available that can gracefully enhance perceived details across a large range of image exposures.
We present a novel meshfree technique for animating free surface viscous liquids with jet buckling effects, such as coiling and folding. Our technique is based on Smoothed Particle Hydrodynamics (SPH) fluids and allow...
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ISBN:
(纸本)9781479942572
We present a novel meshfree technique for animating free surface viscous liquids with jet buckling effects, such as coiling and folding. Our technique is based on Smoothed Particle Hydrodynamics (SPH) fluids and allows more realistic and complex viscous behaviors than the preceding SPH frameworks in computer animation literature. The viscous liquid is modeled by a non-Newtonian fluid flow and the variable viscosity under shear stress is achieved using a viscosity model known as Cross model. The proposed technique is efficient and stable, and our framework can animate scenarios with high resolution of SPH particles in which the simulation speed is significantly accelerated by using computer Unified Device Architecture (CUDA) computing platform. This work also includes several examples that demonstrate the ability of our technique.
The proceedings contain 79 papers. The special focus in this conference is on Computational Bioimaging, computergraphics and Motion and Tracking. The topics include: Learning splines for sparse tomographic reconstruc...
ISBN:
(纸本)9783319142487
The proceedings contain 79 papers. The special focus in this conference is on Computational Bioimaging, computergraphics and Motion and Tracking. The topics include: Learning splines for sparse tomographic reconstruction;analysis of biomedical images based on automated methods of image registration;incorporating structural information into groupwise registration;automatic photorealistic 3D inner mouth restoration from frontal images;voronoi diagrams of line segments in 3D, with application to automatic rigging;image dehazing using regularized optimization;direct estimation of dense scene flow and depth from a monocular sequence;3D deformable spatial pyramid for dense 3D motion flow of deformable object;optical flow computation in the presence of spatially-varying motion blur;statistical estimation of fluid flow;efficient object localization and segmentation in weakly labeled videos;an experimental evaluation of different features and nodal costs for horizon line detection;3D gesture analysis using a large-scale gesture database;a biological motivated multi-scale keypoint detector for local 3D descriptors;resistance-geodesic distance and its use in imageprocessing and segmentation;compact description of the segments on the segmented digital image;commonality preserving image-set clustering based on diverse density;extracting noise-resistant skeleton on digital shapes for graph matching;a human perception based performance evaluation of image quality metrics;an interactive system for video summarization, browsing and retrieval;adaptive visualization of social media data for policy modeling and combining computational models and interactive visualization to support rational decision making.
Most performance analysis tools focus on presenting an overload of details, with little application-dependent structure, and predefined statistical summaries. This makes the complex relations present in a parallel pro...
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ISBN:
(纸本)9781479942572
Most performance analysis tools focus on presenting an overload of details, with little application-dependent structure, and predefined statistical summaries. This makes the complex relations present in a parallel program not directly recognisable to the user, making the task of identifying performance issues more costly in both time and effort. In this work we investigate the requirements to create visualisations of execution traces of parallel programs modelled as dataflows. We propose the Smart Trace (ST) concept, to encode the structure of the data, and guide the construction of specialised visualizations. A visualization tool can then leverage the relationships in the data to automate a given analysis task. We show with examples the power and flexibility of visualisations we can create to address specific questions formulated about the analysis of the data, with emphasis in parallel dataflow traces.
The fast evolution of digital media, in special digital videos, has created an exponential growth of data, increasing the storage and transmission cost and the video content retrieve information complexity. Video summ...
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Anatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boun...
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ISBN:
(纸本)9781479942572
Anatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boundary polarity can help to alleviate part of this problem. In this work, we discuss how to incorporate this property in the Relative Fuzzy Connectedness (RFC) framework. We include a theoretical proof of the optimality of the new algorithm, named Oriented Relative Fuzzy Connectedness (ORFC), in terms of an oriented energy function subject to the seed constraints, and show the obtained gains in accuracy using medical images of MRI and CT images of thoracic studies.
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of paramet...
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ISBN:
(纸本)9781479942572
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. Since there is a lack of research that aims to automatically tune such parameters, in this work we have proposed an evolutionary-based framework for such task, thus introducing three techniques for such purpose: Particle Swarm Optimization, Harmony Search and Social-Spider Optimization. The proposed framework has been compared against with the well-known Large Displacement Optical Flow approach, obtaining the best results in three out eight image sequences provided by a public dataset. Additionally, the proposed framework can be used with any other optimization technique.
The proceedings contain 44 papers. The topics discussed include: robust 6-DOF immersive navigation using commodity hardware;navigating immersive virtual environments through a foot controller;anyhaptics: a haptic plug...
ISBN:
(纸本)9781450332538
The proceedings contain 44 papers. The topics discussed include: robust 6-DOF immersive navigation using commodity hardware;navigating immersive virtual environments through a foot controller;anyhaptics: a haptic plug-in for existing interactive 3D graphics applications;model topology change with correspondence using electrostatics;third person view and guidance for more natural motor behaviour in immersive basketball playing;a hand posture recognition system utilizing frequency difference of infrared light;accelerating vision-based 3D indoor localization by distributing imageprocessing over space and time;posture reconstruction using kinect with a probabilistic model;towards real-time credible and scalable agent-based simulations of autonomous pedestrians navigation;simulator sickness and presence using HMDS: comparing use of a game controller and a position estimation system;and profiling and benchmarking event- and message-passing-based asynchronous realtime interactive systems.
In this paper, we present a framework for detecting tampered information in digital videos. Using the proposed technique is possible to detect several types of tampering with a pixel granularity. The framework uses a ...
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ISBN:
(纸本)9781479942572
In this paper, we present a framework for detecting tampered information in digital videos. Using the proposed technique is possible to detect several types of tampering with a pixel granularity. The framework uses a combination of temporal and spatial watermarks that do not decrease the perceived quality of the host videos. We use a modified version of Quantization Index Modulation (QIM) algorithm to store the watermarks. Since QIM is a fragile watermarking scheme, it is possible to detect local, global, and temporal tampers and also estimate the attack type. The framework is fast, robust, and accurate.
This paper presents a reconstruction method for a conveyor belt X-ray scanning geometry, consisting of a static X-ray source/detector system and an object in uniform motion. Applying conventional reconstruction method...
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This paper presents a reconstruction method for a conveyor belt X-ray scanning geometry, consisting of a static X-ray source/detector system and an object in uniform motion. Applying conventional reconstruction methods to data acquired in this geometry leads to severe artefacts. We show that by incorporating prior knowledge of the material as well as domain specific knowledge, such artefacts can be largely reduced. This is done by combining concepts of discrete tomography with the expected object domain.
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