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Real-Time Ray Tracing
Jadavan, Rostislav ; Španěl, Michal (referee) ; Herout, Adam (advisor)
This work deals with image rendering using raytracing in realtime. After short introduction to raytracing, different technics to compute raytracing in realtime is described. Most of them can be aplied to current computers. Last part shows implementation and test results.
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Interest-Point Detection on CUDA
Ryba, Jan ; Řezníček, Ivo (referee) ; Herout, Adam (advisor)
Corner point detection is one of many functions used in computer vision for tasks such as tracking, detecting objects, comparing images and much more. Many of the algorithms are complex and require a lot of CPU time. This is where the CUDA platform comes in. CUDA kernels run parallely on graphic accelerators can rapidly decrease time needed for execution, allowing even these complex calculations to work in real time or even better. Text focuces on Moravec and Harris corner detection algorithms and their effective implementation on CUDA. Examination of potetntial and performance of CUDA platform is also importatnt.
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Real-Time Ray Tracing
Jadavan, Rostislav ; Španěl, Michal (referee) ; Herout, Adam (advisor)
This work deals with image rendering using raytracing in realtime. After short introduction to raytracing, different technics to compute raytracing in realtime is described. Most of them can be aplied to current computers. Last part shows implementation and test results.
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Interest-Point Detection on CUDA
Ryba, Jan ; Řezníček, Ivo (referee) ; Herout, Adam (advisor)
Corner point detection is one of many functions used in computer vision for tasks such as tracking, detecting objects, comparing images and much more. Many of the algorithms are complex and require a lot of CPU time. This is where the CUDA platform comes in. CUDA kernels run parallely on graphic accelerators can rapidly decrease time needed for execution, allowing even these complex calculations to work in real time or even better. Text focuces on Moravec and Harris corner detection algorithms and their effective implementation on CUDA. Examination of potetntial and performance of CUDA platform is also importatnt.
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Benchmark for OpenGL ES 3.0 Devices
Kimer, Tomáš ; Herout, Adam (referee) ; Polok, Lukáš (advisor)
This thesis deals with the development of benchmark application for the OpenGL ES 3.0 devices using the realistic real-time rendering of 3D scenes. The first part covers the history and new features of the OpenGL ES 3.0 graphics library. Next part briefly describes selected algorithms for the realistic real-time rendering of 3D scenes which can be implemented using the new features of the discussed library. The design of benchmark application is covered next, including the design of online result database containing detailed device specifications. The last part covers implementation on Android and Windows platforms and the testing on mobile devices after publishing the application on Google Play. Finally, the results and possibilites of further development are discussed.
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Graphic filter library implemented in CUDA language
Peroutková, Hedvika ; Šedivá, Zuzana (advisor) ; Sedláček, David (referee)
This thesis deals with the problem of reducing computation time of raster image processing by parallel computing on graphics processing unit. Raster image processing thereby refers to the application of graphic filters, which can be applied in sequence with different settings. This thesis evaluates the suitability of using parallelization on graphic card for raster image adjustments based on multicriterial choice. Filters are implemented for graphics processing unit in CUDA language. Opacity and image merging mode can be set for filters. Various types of filters were implemented like histogram, color, convolution filters and others. Within the frame of this thesis a graphic user interface was developed, which enables filter applying and setting for chosen image, measuring time needed for filter changes and saving final image.
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