Language: | Slovenian |
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Year of publishing: | 2023 |
Typology: | 2.11 - Undergraduate Thesis |
Organization: | UL FRI - Faculty of Computer and Information Science |
Publisher: | [E. Črne] |
UDC: | 004.8(043.2) |
COBISS: | 168447747 |
Views: | 80 |
Downloads: | 22 |
Average score: | 0 (0 votes) |
Metadata: |
Secondary language: | English |
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Secondary title: | Image compositing with non-accurate masks |
Secondary abstract: | 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. |
Secondary keywords: | 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; |
Type (COBISS): | Bachelor thesis/paper |
Study programme: | 1000407 |
Embargo end date (OpenAIRE): | 1970-01-01 |
Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
Pages: | 44 str. |
ID: | 19933624 |