COURSE: Adaptive Manifolds for Real-Time High-Dimensional Filtering (SIGGRAPH 2012). Prof. Manuel de Oliveira
- https://computing.phd.upc.edu/en/events/course-adaptive-manifolds-for-real-time-high-dimensional-filtering-siggraph-2012-.-prof.-manuel-de-oliveira
- COURSE: Adaptive Manifolds for Real-Time High-Dimensional Filtering (SIGGRAPH 2012). Prof. Manuel de Oliveira
- 2012-05-24T11:00:00+02:00
- 2012-05-24T12:00:00+02:00
When
May 24, 2012 from 11:00 AM to 12:00 PM (Europe/Madrid / UTC200)
Where
Building U, room 002, Campus Sud
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Prof. Manuel de Oliveira Universidade Federal do Rio Grande do Sul Porto Alegre, BrazilABSTRACT. Adaptive Manifolds for Real-Time High-Dimensional Filtering (SIGGRAPH 2012) I will present a technique for performing high-dimensional filtering of images and videos in real time. Our approach produces high-quality results and accelerates filtering by computing the filter’s response at a reduced set of sampling points, and using these for interpolation at all N input pixels. We show that for a proper choice of these sampling points, the total cost of the filtering operation is linear both in N and in the dimension d of the space in which the filter operates. As such, ours is the first high-dimensional filter with such a complexity. I will present formal derivations for the equations that define our filter, as well as for an algorithm to compute the sampling points. This provides a sound theoretical justification for our method and for its properties. The resulting filter is quite flexible, being capable of producing responses that approximate either standard Gaussian, bilateral, or non-local-means filters. Such flexibility also allows us to demonstrate the first hybrid Euclidean-geodesic filter that runs in a single pass. Our filter is faster and requires less memory than previous approaches, being able to process a 10-Megapixel full-color image at 50 fps on modern GPUs. We illustrate the effectiveness of our approach by performing a variety of tasks ranging from edge-aware color filtering in 5-D, noise reduction (using up to 147 dimensions), single-pass hybrid Euclidean-geodesic filtering, and detail enhancement, among others. http://www.inf.ufrgs.br/~oliveira/Gastal_Oliveira_Manifold_Filtering_camera_ready.pdf
Ha obtenido financiación de la Dirección General de Política Universitaria, Ministerio de Educación, Cultura y Deporte, a través de las subvenciones para profesores visitantes en programas de masteres oficiales.
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