1,721,298 research outputs found
A High-level Kernel Transformation Rule Set for Efficient Caching on Graphics Hardware - Increasing Streaming Execution Performance with Minimal Design Effort
No full textThis paper proposes a high-level rule set that allows algorithmic designers to optimize their implementation on graphics hardware, with minimal design effort. The rules suggest possible kernel splits and merges to transform the kernels of the original design, resulting in an inter-kernel rather then low-level intra-kernel optimization. The rules consider both traditional texture caches and next-gen shared memory – which are used in the abstract stream-centric paradigms such as CUDA and Brook+ – and can therefore be implicitly applied in most generic streaming applications on graphics hardware
A High-level Kernel Transformation Rule Set for Efficient Caching on Graphics Hardware - Increasing Streaming Execution Performance with Minimal Design Effort
No full textThis paper proposes a high-level rule set that allows algorithmic designers to optimize their implementation on graphics hardware, with minimal design effort. The rules suggest possible kernel splits and merges to transform the kernels of the original design, resulting in an inter-kernel rather then low-level intra-kernel optimization. The rules consider both traditional texture caches and next-gen shared memory – which are used in the abstract stream-centric paradigms such as CUDA and Brook+ – and can therefore be implicitly applied in most generic streaming applications on graphics hardware
Free Viewpoint Video for Soccer using Histogram-Based Validity Maps in Plane Sweeping
No full textIn this paper, we present a method to accomplish free viewpoint video for soccer scenes. This will allow the rendering of a virtual camera, such as a virtual rail camera, or a camera moving around a frozen scene. We use 7 static cameras in a wide baseline setup (10 meters apart from each other). After debayering and segmentation, a crude depth map is created using a plane sweep approach. Next, this depth map is filtered and used in a second, depth-selective plane sweep by creating validity maps per depth. The complete method employs NVIDIA CUDA and traditional GPU shaders, resulting in a fast and scalable solution. The results, using real images, show the effective removal of artifacts, yielding high quality images for a virtual camera
Biological-Aware Stereoscopic Rendering in Free Viewpoint Technology using GPU Computing
No full textIn this paper we present a biological-aware stereoscopic renderer that is used in a video communication system, to convincingly provide the participants with synthetic 3D perception. As opposed to conventional 3D systems - where pre-recorded content is presented to the viewer without taking his or her viewing location into account - we adaptively exploit both monocular and binocula cues of the human vision system, based on the viewing location. By using a GPU-based control loop, we are able to provide real-time synthetic 3D perception that is experienced as being rich and natural, without losing any visual comfort whatsoever
Free Viewpoint Video for Soccer using Histogram-Based Validity Maps in Plane Sweeping
No full textIn this paper, we present a method to accomplish free viewpoint video for soccer scenes. This will allow the rendering of a virtual camera, such as a virtual rail camera, or a camera moving around a frozen scene. We use 7 static cameras in a wide baseline setup (10 meters apart from each other). After debayering and segmentation, a crude depth map is created using a plane sweep approach. Next, this depth map is filtered and used in a second, depth-selective plane sweep by creating validity maps per depth. The complete method employs NVIDIA CUDA and traditional GPU shaders, resulting in a fast and scalable solution. The results, using real images, show the effective removal of artifacts, yielding high quality images for a virtual camera
Immersive GPU-driven biological adaptive stereoscopic rendering
No full textIn this paper, we want to sensitize 3D content developers
and researchers of broadening their scope of parameters
they take into account for generating 3D content. State-of-theart perceptual research has already shown that monocular visual cues highly contribute to the very fundamentals of 3D perception, and binocular ones are merely linked to them in order to create a rich depth experience. In this context, we present an overview
of the research concerning our teleconferencing system that is able to recreate biological stereoscopic input, without loosing consistency in all related monocular cues such as accommodation, occlusion, size (gradient), motion parallax, texture gradient and linear perspective. The system adapts in real-time by doing both GPU-driven analysis and rendering, based on the physical parameters of the system user
Immersive GPU-driven biological adaptive stereoscopic rendering
No full textIn this paper, we want to sensitize 3D content developers
and researchers of broadening their scope of parameters
they take into account for generating 3D content. State-of-theart perceptual research has already shown that monocular visual cues highly contribute to the very fundamentals of 3D perception, and binocular ones are merely linked to them in order to create a rich depth experience. In this context, we present an overview
of the research concerning our teleconferencing system that is able to recreate biological stereoscopic input, without loosing consistency in all related monocular cues such as accommodation, occlusion, size (gradient), motion parallax, texture gradient and linear perspective. The system adapts in real-time by doing both GPU-driven analysis and rendering, based on the physical parameters of the system user
COMPLEXITY REDUCTION OF REAL-TIME DEPTH SCANNING ON GRAPHICS HARDWARE
No full textThis paper presents an intelligent control loop add-on to reduce the total amount of hardware operations - and therefore the resulting execution speed - of a real-time depth scanning algorithm. The analysis module of the control loop predicts redundant brute-force operations, and dynamically adjusts the input parameters of the algorithm, to avoid scanning in a space that lacks the presence of objects. Therefore, this approach reduces the algorithmic complexity in proportion with the amount of void within the scanned volume, while remaining fully compliant with stream-centric paradigms such as CUDA and Brook+
Immersive Teleconferencing with Natural 3D Stereoscopic Eye Contact Using GPU Computing
No full textThis paper presents an overview of our work in creating a practical prototype for natural 3D stereoscopic eye contact in teleconferencing. The two main pillars of our system are to 'immerse' the participants and to create as much as possible a natural feel to the communication. This is mainly realized by synthesizing virtual camera viewpoints to restore the eye contact, and by creating a sense of depth perception though feeding correctly generated stereo images directly to the user's eyes. Furthermore, we present an overview of GPU computing techniques that are used to maintain the real-time processing and transmission constraints of the system
MIGRATING REAL-TIME DEPTH IMAGE-BASED RENDERING FROM TRADITIONAL TO NEXT-GEN GPGPU
No full textThis paper focuses on the current revolution in using the GPU for general-purpose computations (GPGPU), and how to maximally exploit its powerful resources. Recently, the advent of next-generation GPGPU replaced the traditional way of exploiting the graphics hardware. We have migrated real-time depth image-based rendering - for use in contemporary 3DTV technology - and noticed however that using both GPGPU paradigms leads to a higher performance than non-hybrid implementations. Using this paper, we want to sensitize other researchers to reconsider before migrating their implementation completely, and use our practical migration rules to achieve maximum performance with minimal effort.This work is supported by the IWT within the Hasselt University under grant number SB071150
- …
