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Quentin Avril, Valerie Gouranton, Bruno Arnaldi
We have presented several contributions on the collision detection optimization centered on hardware performance. We focus on the first step (Broad-phase) and propose three new ways of parallelization of the well-known Sweep and Prune algorithm. We first developed a multi-core model takes into account the number of available cores. Multi-core architecture enables us to distribute […]
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Peng Du, Min Tang, Yigang Wang
Previous collision detection methods for virtual disassembly mainly detect collisions at discrete time interval, and use oriented bounding boxes to speedup the process. However, these discrete methods cannot guarantee no penetration occurs as the components move. Meanwhile, because some of the components are embedded into each other, these components cannot be separated in the following […]
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Knut Berg Kaldestad
The focus in this thesis is on robot collision handling systems, mainly collision detection and collision avoidance for industrial robots operating in harsh environments (e.g. potentially explosive atmospheres found in the oil and gas sector). Collision detection should prevent the robot from colliding and therefore avoid a potential accident. Collision avoidance builds on the concept […]
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L. Lu, X. Wang
For 3D skeleton extraction, the algorithm based on generalized potential fields, known as the outstandingly flexible and robust method, is suffering from seriously heavy computational burden. In this paper, we put forward a parallel algorithm based on OpenCL heterogeneous parallel framework, which can make full use of the great computing power provided by heterogeneous model […]
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Jeffrey Smith, Thomas Booth, Reynold Bailey
The application of human visual perception models to remove imperceptible components in a graphics system, has been proven effective in achieving significant computational speedup. Previous implementations of such techniques have focused on spatial level of detail reduction, which typically results in noticeable degradation of image quality. We introduce Refresh Rate Modulation (RRM), a novel perceptual […]
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David Mainzer, Gabriel Zachmann
We present a novel approach to perform collision detection queries between rigid and/or deformable models. Our method can handle arbitrary deformations and even discontinuous ones. For this, we subdivide the whole scene with all objects into connected but totally independent parts by a fuzzy clustering algorithm. Following, for every part our algorithm performs a Principal […]
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An WenShan, Wang Bin, Paul Jean-Claude, Sun JiaGuang
Particle systems are important building block for simulating vivid and detail-rich effects in virtual world. One of the most difficult aspects of particle systems has been detecting collisions between particlesand mesh surface. Due to the huge computation, a variety of proxy-based approaches have been proposed recently to perform visually correct simulation. However, all either limit […]
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Min Qi
The traditional method for detecting collisions in a 2D computer game uses a axis-aligned bounding box around each sprite, and checks to determine if the bounding boxes overlap periodically. Using this single bounding box method may result in a large amount of pixel intersection tests, since a sprite may be composed of areas where the […]
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Francois Lehericey, Valerie Gouranton, Bruno Arnaldi
We proposed [LGA13] an iterative ray-traced collision detection algorithm (IRTCD) that exploits spatial and temporal coherency and proved to be computationally efficient but at the price of some geometrical approximations that allow more interpenetration than needed. In this paper, we present two methods to efficiently control and reduce the interpenetration without noticeable computation overhead. The […]
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Mohammadhossein Afrasiabi
This thesis explores the possibility of utilizing Graphics Processing Units (GPUs) to address the computational demand of algorithms used to mitigate the inherent physical limitations in devices such as microscopes and 3D-scanners. We investigate the outcome and test our methodology for the following case studies: – the narrow field of view found in microscopes. – […]
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Francois Lehericey
Collision detection is a complex task that can be described simply: given a set of objects, we want to know which ones collide. In the literature, we can found numerous algorithms that depend on objects property, but we can’t find an overall solution that works on every objects. The internship focuses on a recent algorithm […]
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Cristobal A. Navarro, Nancy Hitschfeld
There is a stage in the GPU computing pipeline where a grid of thread-blocks is mapped to the problem domain. Normally, this grid is a k-dimensional bounding box that covers a k-dimensional problem no matter its shape. Threads that fall inside the problem domain perform computations, otherwise they are discarded at runtime. For problems with […]
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