Super-Resolution: Recovering Lost Details in Images and Videos
Dr. Goethe, a renowned mathematician with a passion for making complex concepts approachable, takes readers on an intriguing journey into the world of shapes in his book, "Can We Count All the Faces? Exploring Simplicial Complexes." This thought-provoking exploration breaks down the seemingly arcane concept of simplicial complexes, revealing their surprising elegance and power in understanding geometric shapes. Dr. Goethe, a master of clear explanation, dismantles the intimidation factor often associated with higher mathematics. He introduces the fundamental building blocks of simplicial complexes - simplices (think triangles and their higher dimensional equivalents) - and demonstrates how these simple elements can be combined to represent a vast array of geometric shapes. "Can We Count All the Faces?" delves into the concept of simplicial homology, a powerful tool for analyzing the topological properties of shapes. Dr. Goethe explains how, by counting faces, edges, and vertices of these simplicial complexes, we can gain valuable insights into the underlying structure and connectivity of complex shapes, even in higher dimensions. The book doesn't just explore theory; it bridges the gap with real-world applications. Dr. Goethe explores the connection between simplicial complexes and cutting-edge fields like computational topology and data analysis. He demonstrates how these concepts can be used to analyze complex datasets and extract meaningful information from seemingly chaotic data points. "Can We Count All the Faces?" is an engaging read for anyone curious about the hidden mathematical structures that underlie our world. Dr. Goethe's work is a testament to the beauty and power of mathematics, making the world of simplicial complexes accessible to a wider audience.
| Erscheint lt. Verlag | 25.6.2024 |
|---|---|
| Verlagsort | marvi |
| Sprache | englisch |
| Maße | 155 x 234 mm |
| Gewicht | 198 g |
| Themenwelt | Geschichte ► Teilgebiete der Geschichte ► Technikgeschichte |
| Technik | |
| Schlagworte | deep learning for super • future directions in super- resolution • high-resolution imaging • Image • image artifact • Image Processing • multi-frame super-resolution • single-image super-resolution • Video • Video Processing |
| ISBN-10 | 3-384-27128-9 / 3384271289 |
| ISBN-13 | 978-3-384-27128-0 / 9783384271280 |
| Zustand | Neuware |
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