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Computational imaging for scene understanding: transient, spectral, and polarimetric analysis

By: Funatomi, Takuya [Editor ] | Okabe, Takahiro [Co-Editor ]Material type: TextTextLanguage: English Publication details: New Jersey: Wiley Data and Cybersecurity, 2024. Edition: 1st edDescription: xv, 322pISBN: 9781394284412Subject(s): Spectral Modeling and Separation of Reflective‐Fluorescent Scenes | Far Infrared Light Transport Decomposition | Shape from Polarization and ShadingDDC classification: 006.6 Online resources: Click here to access online
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Most cameras are inherently designed to mimic what is seen by the human eye: they have three channels of RGB and can achieve up to around 30 frames per second (FPS).

However, some cameras are designed to capture other modalities: some may have the ability to capture spectra from near UV to near IR rather than RGB, polarimetry, different times of light travel, etc. Such modalities are as yet unknown, but they can also collect robust data of the scene they are capturing.

This book will focus on the emerging computer vision techniques known as computational imaging. These include capturing, processing and analyzing such modalities for various applications of scene understanding.


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