Zobrazeno 1 - 10
of 3 557
pro vyhledávání: '"texture synthesis"'
Autor:
Natascha Jeziorski, Claudia Redenbach
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Training defect detection algorithms for visual surface inspection systems requires a large and representative set of training data. Often there is not enough real data available which additionally cannot cover the variety of possible defect
Externí odkaz:
https://doaj.org/article/1d63fa5da74842179e971b0daf22cd1d
Akademický článek
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Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2023, Iss 1, Pp 1-26 (2023)
Abstract This paper investigates deep learning (DL)-based semantic segmentation of textured mosaics. Existing popular datasets for mosaic texture segmentation, designed prior to the DL era, have several limitations: (1) training images are single-tex
Externí odkaz:
https://doaj.org/article/665573eac6504bd7913ba44964b9ad58
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1858 (2024)
For accurate urban planning, three-dimensional (3D) building models with a high level of detail (LOD) must be developed. However, most large-scale 3D building models are limited to a low LOD of 1–2, as the creation of higher LOD models requires the
Externí odkaz:
https://doaj.org/article/6da08e0f67584e57aef4cb68e084b01c
Autor:
Seda Zirek
Publikováno v:
Systems and Soft Computing, Vol 5, Iss , Pp 200051- (2023)
Three-dimensional solid computational representations of natural heterogeneous materials are challenging to generate due to their high degree of randomness and varying scales of patterns, such as veins and cracks, in different sizes and directions. I
Externí odkaz:
https://doaj.org/article/87193e32eb554807a6f347203049e1b6
Publikováno v:
Image Analysis and Stereology, Vol 42, Iss 1, Pp 37-49 (2023)
Example-based texture synthesis is a fundamental topic of many image analysis and computer vision applications. Consequently, its representation is one of the most critical and challenging topics in computer vision and pattern recognition, attracting
Externí odkaz:
https://doaj.org/article/4141f3c5c04b4baaaee90e86ac14cc6a
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1603-1614 (2023)
Abstract In the non‐homogeneous texture synthesis task, the overall visual characteristics should be consistent when extending the local patterns of the exemplar. The existing methods mainly focus on the local visual features of patterns but ignore
Externí odkaz:
https://doaj.org/article/c23c537164624b0c9afb9264bfa0aedb
Publikováno v:
Computational Visual Media, Vol 9, Iss 3, Pp 581-596 (2023)
Abstract Image-guided drawing can compensate for a lack of skill but often requires a significant number of repetitive strokes to create textures. Existing automatic stroke synthesis methods are usually limited to predefined styles or require indirec
Externí odkaz:
https://doaj.org/article/7b966de55c0d4ba28e5a6ba7f81b8ea2
Autor:
Fruehstueck, Anna
Generative Adversarial Networks (GANs) are a very successful method for high-quality image synthesis and are a powerful tool to generate realistic images by learning their visual properties from a dataset of exemplars. However, the controllability of
Externí odkaz:
http://hdl.handle.net/10754/691535
