The proceedings contain 20 papers. The topics discussed include: automated facial landmark detection, comparison and visualization;a general framework for constrained mesh parameterization;tomographic reconstruction o...
ISBN:
(纸本)9781450336932
The proceedings contain 20 papers. The topics discussed include: automated facial landmark detection, comparison and visualization;a general framework for constrained mesh parameterization;tomographic reconstruction on the body-centered cubic lattice;surface reflectance characterization by statistical tools;physically inspired stretching for skinning animation of non-rigid bodies;structure-aware transfer of facial blendshapes;visibility-based approach to surface detection of tunnels in proteins;automatized summarization of multiplayer games;path-planning algorithm for transportation of molecules through protein tunnel bottlenecks;an improved decomposition and drawing process for optimal topological visualization of directed graphs;and finger motion estimation and synthesis for gesturing characters.
A fast simple method for dynamic textures enlargement and editing is presented. The resulting edited dynamic texture is a mixture of several color dynamic textures that realistically matches the given color textures a...
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ISBN:
(纸本)9781450336932
A fast simple method for dynamic textures enlargement and editing is presented. The resulting edited dynamic texture is a mixture of several color dynamic textures that realistically matches the given color textures appearance and respects their original optical flows. The method simultaneously allows to spatially and temporarily enlarge the original dynamic textures to fill any required four dimensional dynamic texture space. The method is based on a generalization of the prominent static double toroid-shaped texture modeling roller method to the dynamic texture domain. The presented method keeps the original static texture roller principle of separated analysis and synthesis parts of the algorithm. In its analytical step, the input textures patches are found by an optimal overlap tiling and the subsequent minimum boundary cut. The optimal toroid-shaped dynamic texture patches are created in each spatial and time dimension, respectively. The spatial dimension tile border is derived by textural features, color-tone, and the minimal overlapping error. The time dimension tile border is detected by minimizing the overlapping error and using the input textures optical flow. The realistic appearance of the dynamic textures mix requires to edit the patch color space and to find border patches which consists from more than one type of the texture. These border patches are found similarly to the multi-texture analysis patch step. Since all time-consuming processing, such as the finding of optimal spatio-temporal triple toroidal patches, are done in the analytical step which is completely separated from synthesis part, the synthesis of the edited and enlarged resulting texture can by done very efficiently by applying simple set of repeating rules for these triple toroidal patches. Thus the presented method is extremely fast and capable to synthesize a learned natural dynamic texture spatially and its time span in real-time.
The recent advances in cloud services enable an increasing number of applications to offload their intensive tasks to remote computers. Cloud rendering comprises a set of services capable of rendering a 3D scene on a ...
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ISBN:
(纸本)9781538692646
The recent advances in cloud services enable an increasing number of applications to offload their intensive tasks to remote computers. Cloud rendering comprises a set of services capable of rendering a 3D scene on a remote workstation. Notable progress in this field has been made by cloud gaming services. However, a gap remains between existing cloud rendering systems and other graphics-intensive applications, such as visualization of computer-Aided Design (CAD) models. Existing cloud gaming services are not suitable to efficiently render these particular 3D scenes. CAD models contain many more objects than a regular game scene, requiring specific assumptions and optimizations to deliver an interactive user experience. In this work, we discuss and propose a novel hybrid cloud rendering system for massive 3D CAD models of industrial plants. The obtained results show that our technique can achieve high frame rates with satisfactory image quality even in a constrained environment, such as a high latency network or obsolete computer hardware.
This paper illustrates the design and implementation of a conflict-driven ASP solver that is capable of exploiting the Single-Instruction Multiple-Thread parallelism offered by General Purpose Graphical Processing Uni...
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This paper illustrates the design and implementation of a conflict-driven ASP solver that is capable of exploiting the Single-Instruction Multiple-Thread parallelism offered by General Purpose Graphical Processing Units (GPUs). Modern GPUs are multi-core platforms, providing access to large number of cores at a very low cost, but at the price of a complex architecture with non-trivial synchronization and communication costs. The search strategy of the ASP solver follows the notion of ASP computation, that avoids the generation of unfounded sets. Conflict analysis and learning are also implemented to help the search. The CPU is used only to pre-process the program and to output the results. All the solving components, i.e., nogoods management, search strategy, (non-chronological) backjumping, heuristics, conflict analysis and learning, and unit propagation, are performed on the GPU by exploiting SIMT parallelism. The preliminary experimental results confirm the feasibility and scalability of the approach, and the potential to enhance performance of ASP solvers.
R&E networks played an important role in helping Japanese television to transmit live 8K resolution TV images of the 2014 FIFA World CupTMto Japan. The huge distance between Brazil and Japan, half a world apart, s...
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ThermoNet is a web-based learning resource being developed for introductory thermodynamic classes. The resource emphasizes instructional techniques that cannot be achieved using traditional textbooks, including the us...
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ThermoNet is a web-based learning resource being developed for introductory thermodynamic classes. The resource emphasizes instructional techniques that cannot be achieved using traditional textbooks, including the use of interaction, animations, and movies. The feasibility of replacing traditional lectures with computer-based instruction using tutorials in ThermoNet is explored, as are the advantages and disadvantages of having students work individually versus in groups on a tutorial. Three thermodynamics classes during the spring 2001 semester were held in a computer lab where the students worked through a specific tutorial rather than listen to a lecture. Qualitative feedback on this technology obtained both from a questionnaire administered by the instructor and from an evaluation conducted by an independent evaluator are presented.
Fast increasing volumes of spatial data has made it imperative to develop both scalable and efficient spatial data management techniques by leveraging modern parallel hardware and distributed systems. By integrating a...
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Fast increasing volumes of spatial data has made it imperative to develop both scalable and efficient spatial data management techniques by leveraging modern parallel hardware and distributed systems. By integrating a leading open source Big Data system called Impala and our previous work on data parallel designs for spatial indexing and query processing, we have developed ISP-MC+ and ISP-GPU for large-scale spatial data management on computer clusters equipped with multi-core CPUs and graphics Processing Units (GPUs), respectively. Both ISP-MC+ and ISP-GPU have shown high efficiency and good scalability on a 10-node Amazon EC2 cluster equipped with multi-core CPUs and GPUs. Comparison with a baseline implementation using traditional techniques on a single CPU core have demonstrated orders of magnitude of speedups on a real world dataset with hundreds of millions of point locations.
The 29th Canadian conference on Artificial Intelligence will be held from May 31st to June 3rd 2016 in Victoria,BC,on the west coast of *** event is collocated with the Canadian graphics Interface and the computer and...
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The 29th Canadian conference on Artificial Intelligence will be held from May 31st to June 3rd 2016 in Victoria,BC,on the west coast of *** event is collocated with the Canadian graphics Interface and the computer and Robot Vision *** events will bring together hundreds of leaders in research,industry,and government,as well as Canada’s most accomplished students,to showcase Canada’s ingenuity,innovation and leadership in intelligent systems and advanced information and communications tech-
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