Computational imaging for scene understanding : transient, spectral, and polarimetric analysis / coordinated by Takuya Funatomi, Takahiro Okabe.
Contributor(s): Funatomi, Takuya [editor.] | Okabe, Takahiro [editor.]
Language: English Series: Image. Sensors and image processing: Publisher: London, UK : Hoboken, NJ : ISTE Ltd ; John Wiley & Sons, Inc., 2024Copyright date: ©2024Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781789451504 ; 9781394284436; 1394284438; 9781394284412; 1394284411Subject(s): Image processing -- Digital techniques -- MathematicsGenre/Form: Electronic books.DDC classification: 006.6 LOC classification: TA1637.5 | .C66 2024Online resources: Full text is available at Wiley Online Library Click here to view 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.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | 006.6 C7392 2024 (Browse shelf) | Available |
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.
About the Author
Takuya Funatomi is an associate professor in Division of Information Science at the Nara Institute of Science and Technology (NAIST) in Japan. He has received a bachelor's degree in Engineering and a master’s degree and PhD in Informatics from Kyoto University in 2002, 2004 and 2007, respectively.
Takahiro Okabe is a professor at Kyushu Institute of Technology in Japan. He received a bachelor's and a master's degree in Physics and a PhD in Information Science and Technology from the University of Tokyo in 1997, 1999 and 2011, respectively.
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