Global ETD Search

1	Fresh Face >>> Body 2.0 : Handens minne + Digitala dimensioner Wollin, Elin January 2017 (has links) "My goal with this project is to digital print a Science Fiction inspired print on fabric that provides an optical illusion with lenticular technology. The fabric will be presented with five curtain drapings, two in motion with motorized movable suspensions. The Print design is going to be created with a science fiction/cyberpunk/transhumanism atmosphere. I’m inspired by the relation between body and machine. The textile field is drawn to smart textiles where the idea of function, artificial intelligence and virtual reality is central. There are already textiles that are designed to react to the wearers needs. And soon it will be possible for the online shopper to purchase customized clothes by recreating themselves as an avatar through 3Dscanning. With this as inspiration my digital print is designed. Technically I will produce a fabric using the lenticular technology that creates an optical illusion. In order to produce the fabric, I need to work with the prints in Photoshop and then digitally print them on fabric. So that the fabric could be able to obtain an optical effect, a lens made of silicone will be laminated on top. The silicone lens is cast in a form which is sketched and made as a model in Rhino and then cut out from a metal block with a milling cutter. The composition will be presented as five curtain drapings. Two of them moves with electric winches. They will hang separately but communicate in a spatial constellation. Like organs the draperies spread out and fall back again. Here, as in the print design, the body and the machine will be crucial. The focus is also on the fabric's tactile character, drama and historical heritage." Digitaltryck Drapering Lentikulär teknik organism maskin animation Arts Konst
2	3D Video Playback : A modular cross-platform GPU-based approach for flexible multi-view 3D video rendering Andersson, Håkan January 2010 (has links) The evolution of depth‐perception visualization technologies, emerging format standardization work and research within the field of multi‐view 3D video and imagery addresses the need for flexible 3D video visualization. The wide variety of available 3D‐display types and visualization techniques for multi‐view video, as well as the high throughput requirements for high definition video, addresses the need for a real‐time 3D video playback solution that takes advantage of hardware accelerated graphics, while providing a high degree of flexibility through format configuration and cross‐platform interoperability. A modular component based software solution based on FFmpeg for video demultiplexing and video decoding is proposed,using OpenGL and GLUT for hardware accelerated graphics and POSIX threads for increased CPU utilization. The solution has been verified to have sufficient throughput in order to display 1080p video at the native video frame rate on the experimental system, which is considered as a standard high‐end desktop PC only using commercial hardware. In order to evaluate the performance of the proposed solution a number of throughput evaluation metrics have been introduced measuring average frame rate as a function of: video bit rate, video resolution and number of views. The results obtained have indicated that the GPU constitutes the primary bottleneck in a multi‐view lenticular rendering system and that multi‐view rendering performance is degraded as the number of views is increased. This is a result of the current GPU square matrix texture cache architectures, resulting in texture lookup access times according to random memory access patterns when the number of views is high. The proposed solution has been identified in order to provide low CPU efficiency, i.e. low CPU hardware utilization and it is recommended to increase performance by investigating the gains of scalable multithreading techniques. It is also recommended to investigate the gains of introducing video frame buffering in video memory or to move more calculations to the CPU in order to increase GPU performance. 3D Video Player Multi-view Video Lenticular Rendering Auto-stereoscopy 3D Visualization FFmpeg GPU OpenGL C. 3D Video Videospelare Visualisering Multi-vy Lentikulär Rendering Auto-stereoskopi Visualisering Systemdesign FFmpeg GPU OpenGL C PThreads GLUT Annan elektroteknik och elektronik Signal Processing Signalbehandling Computer Engineering Datorteknik

1

Page generated in 0.0403 seconds