Jezik: | Slovenski jezik |
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Leto izida: | 2023 |
Tipologija: | 2.11 - Diplomsko delo |
Organizacija: | UL FRI - Fakulteta za računalništvo in informatiko |
Založnik: | [E. Črne] |
UDK: | 004.8(043.2) |
COBISS: | 168447747 |
Št. ogledov: | 80 |
Št. prenosov: | 22 |
Ocena: | 0 (0 glasov) |
Metapodatki: |
Sekundarni jezik: | Angleški jezik |
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Sekundarni naslov: | Image compositing with non-accurate masks |
Sekundarni povzetek: | In the field of image compositing most approaches focus on improving the precision of masks that distinguish between foreground and background. As an alternative to computationally intensive and time consuming image matting method, this research aims at achieving similar outcomes using only imprecise masks and the process of deep learning. These imprecise masks were created by deforming given exact masks. The work investigates the impact of different parameters and uses the combination of the most effective ones for the final model. The final model was then tested with a variety of masks obtained from other unrelated methods for foreground mask extraction. Despite its small size and simplicity, the model demonstrates promising results. |
Sekundarne ključne besede: | image compositing;convolutional neural networks;deep learning;autoencoders;computer science;computer and information science;computer science and mathematics;interdisciplinary studies;diploma;Globoko učenje (strojno učenje);Nevronske mreže (računalništvo);Računalništvo; |
Vrsta dela (COBISS): | Diplomsko delo/naloga |
Študijski program: | 1000407 |
Konec prepovedi (OpenAIRE): | 1970-01-01 |
Komentar na gradivo: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Strani: | 44 str. |
ID: | 19933624 |