Computational Imaging for Scene Understanding is popular PDF and ePub book, written by Takuya Funatomi in 2024-04-15, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Computational Imaging for Scene Understanding can be Read Online from any device for your convenience.
Computational Imaging for Scene Understanding Book PDF Summary
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.
Detail Book of Computational Imaging for Scene Understanding PDF
- Author : Takuya Funatomi
- Release : 15 April 2024
- Publisher : John Wiley & Sons
- ISBN : 9781394284429
- Genre : Computers
- Total Page : 356 pages
- Language : English
- PDF File Size : 17,7 Mb
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