Camouflaging Motion Blur
Autor: | Guna Seetharaman, M. Purnachandra Rao, A. N. Rajagopalan, Sahana M. Prabhu |
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Rok vydání: | 2014 |
Předmět: |
Computer science
business.industry Motion blur ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (philosophy) Motion (physics) Image (mathematics) Dimension (vector space) Camouflage Computer graphics (images) Compositing Relevance (information retrieval) Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | ICVGIP |
DOI: | 10.1145/2683483.2683568 |
Popis: | Camouflaging an object in a photograph is normally performed with the intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of camouaging motion blur with special relevance to non-uniformly blurred images. Given a blurred photograph, we apply a suitably derived blurring model to smear a target object and naturally blend it into the motion blurred background by using alpha matting. We validate our photo-realistic compositing approach on several synthetic and real examples. |
Databáze: | OpenAIRE |
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