Achieving accurate registration between real and synthetic worlds is one of augmented reality's biggest challenges. A real-time camera-pose estimation method, based on multiple maps and local bundle adjustment, en...
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Achieving accurate registration between real and synthetic worlds is one of augmented reality's biggest challenges. A real-time camera-pose estimation method, based on multiple maps and local bundle adjustment, enables the registration to work without prior knowledge of natural scenes. This method can significantly enhance AR systems' usability.
作者：
Abe, YeuhiPopovic, JovanMIT
Comp Graph Grp Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA
Tracking controllers produce realistic motion in simulations by mimicking an input motion. However, current time-indexed trackers adhere strictly to the input motion\'s timing, causing a lack of robustness. A new ...
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Tracking controllers produce realistic motion in simulations by mimicking an input motion. However, current time-indexed trackers adhere strictly to the input motion\'s timing, causing a lack of robustness. A new phase-indexed tracker for 2D characters can deviate from the input motion\'s timing. Compared to time-indexed tracking with a state-of-the-art nonlinear quadratic regulator, phase-indexed tracking can withstand force perturbations up to an order of magnitude larger. The phase-indexed controller employs motion constraints that induce a reduced dynamic for which we can design control policies that incorporate prediction.
An interactive inverse kinematics approach robustly generates natural poses in a large human-reachable space. It employs adaptive kd clustering to select a representative frame set from a large motion database and emp...
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An interactive inverse kinematics approach robustly generates natural poses in a large human-reachable space. It employs adaptive kd clustering to select a representative frame set from a large motion database and employs sparse approximation to accelerate training and posing. Model training is required only once.
The processing power of parallel coprocessors like the graphics Processing Unit (GPU) is dramatically increasing. However, until now only a few approaches have been presented to utilize this kind of hardware for mesh ...
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The processing power of parallel coprocessors like the graphics Processing Unit (GPU) is dramatically increasing. However, until now only a few approaches have been presented to utilize this kind of hardware for mesh clustering purposes. In this paper, we introduce a Multilevel clustering technique designed as a parallel algorithm and solely implemented on the GPU. Our formulation uses the spatial coherence present in the cluster optimization and hierarchical cluster merging to significantly reduce the number of comparisons in both parts. Our approach provides a fast, high-quality, and complete clustering analysis. Furthermore, based on the original concept, we present a generalization of the method to data clustering. All advantages of the mesh-based techniques smoothly carry over to the generalized clustering approach. Additionally, this approach solves the problem of the missing topological information inherent to general data clustering and leads to a Local Neighbors k-means algorithm. We evaluate both techniques by applying them to Centroidal Voronoi Diagram (CVD)-based clustering. Compared to classical approaches, our techniques generate results with at least the same clustering quality. Our technique proves to scale very well, currently being limited only by the available amount of graphics memory.
This approach extends the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model based on the Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) p...
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This approach extends the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model based on the Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) personality model. Each personality trait has an associated nominal behavior. Specifying an agent's personality leads to an automation of low-level parameter tuning.
The editor's decision where and how to place items on a screen is crucial for the design of information displays, such as websites. We developed a statistical model that can facilitate automating this process by p...
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The editor's decision where and how to place items on a screen is crucial for the design of information displays, such as websites. We developed a statistical model that can facilitate automating this process by predicting the perceived importance of screen items from their location and size. The model was developed based on a 2-step experiment in which we asked participants to rate the importance of text articles that differed in size, screen location, and title size. Articles were either presented for 0.5 seconds or for unlimited time. In a stepwise regression analysis, the model's variables accounted for 65% of the variance in the importance ratings. In a validation study, the model predicted 85% of the variance of the mean apparent importance of screen items. The model also predicted individual raters' importance perception ratings. We discuss the implications of such a model in the context of automating layout generation. An automated system for layout generation can optimize data presentation to suit users' individual information and display preferences.
For large-scale visualization applications, the visualization community urgently needs general solutions for efficient parallel I/O. These parallel visualization solutions should center around design patterns and the ...
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For large-scale visualization applications, the visualization community urgently needs general solutions for efficient parallel I/O. These parallel visualization solutions should center around design patterns and the related data-partitioning strategies, not file formats. From this respect, it's feasible to greatly alleviate I/O burdens without reinventing the wheel. For example, BIL (Block I/O Layer), which implements such a pattern, has greatly accelerated I/O performance for large-scale parallel particle tracing, a pervasive but challenging use case. [ABSTRACT FROM PUBLISHER]
Recent advances in virtualization technology and wide acceptance of the cloud computing model are having significant impact on the software service industry. Though cloud computing and virtualization technology have b...
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Recent advances in virtualization technology and wide acceptance of the cloud computing model are having significant impact on the software service industry. Though cloud computing and virtualization technology have been widely applied in supporting the information processing needs of conventional enterprise and business applications, there has been a little success to-date in enabling realtime 3D virtual appliances in the cloud. This paper aims to address this deficiency by presenting SHARC, a solution for enabling scalable support of realtime 3D virtual appliances in a cloud computing environment. The solution uses a scalable pipelined processing infrastructure which consists of three processing networks according to the principle of division-of-labor, a virtualization server network for running 3D virtual appliances, a graphics rendering network for processing graphics rendering workload with load balancing, and a media streaming network for transcoding rendered frames into H.264/MPEG-4 media streams and streaming the media streams to a cloud user. The paper describes a prototype implementation of SHARC and reports test results that demonstrate the viability of this approach. (C) 2010 Published by Elsevier Ltd.
This paper presents a practical algorithm for the simulation of interactive deformation in a 3D polygonal mesh model. The algorithm combines the conventional simulation of deformation using a spring-mass-damping model...
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This paper presents a practical algorithm for the simulation of interactive deformation in a 3D polygonal mesh model. The algorithm combines the conventional simulation of deformation using a spring-mass-damping model, solved by explicit numerical integration, with a set of heuristics to describe certain features of the transient behaviour, to increase the speed and stability of solution. In particular, this algorithm was designed to be used in the simulation of synthetic environments where it is necessary to model realistically, in real time, the effect on non-rigid surfaces being touched, pushed, pulled or squashed. Such objects can be solid or hollow, and have plastic, elastic or fabric-like properties. The algorithm is presented in an integrated form including collision detection and adaptive refinement so that it may be used in a self-contained way as part of a simulation loop to include human interface devices that capture data and render a realistic stereoscopic image in real time. The algorithm is designed to be used with polygonal mesh models representing complex topology, such as the human anatomy in a virtual-surgery training simulator. The paper evaluates the model behaviour qualitatively and then concludes with some examples of the use of the algorithm.
In this paper, we propose bipartite polar classification to augment an input unorganized point set P with two disjoint groups of points distributed around the ambient space of P to assist the task of surface reconstru...
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In this paper, we propose bipartite polar classification to augment an input unorganized point set P with two disjoint groups of points distributed around the ambient space of P to assist the task of surface reconstruction. The goal of bipartite polar classification is to obtain a space partitioning of P by assigning pairs of Voronoi poles into two mutually invisible sets lying in the opposite sides of P through direct point set visibility examination. Based on the observation that a pair of Voronoi poles are mutually invisible, spatial classification is accomplished by carving away visible exterior poles with their counterparts simultaneously determined as interior ones. By examining the conflicts of mutual invisibility, holes or boundaries can also be effectively detected, resulting in a hole-aware space carving technique. With the classified poles, the task of surface reconstruction can be facilitated by more robust surface normal estimation with global consistent orientation and off-surface point specification for variational implicit surface reconstruction. We demonstrate the ability of the bipartite polar classification to achieve robust and efficient space carving on unorganized point clouds with holes and complex to pology and show its application to surface reconstruction.
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