000			01552nam a2200241 4500
005			20250715164446.0
008			250715b2024|||||||| |||| 00| 0 eng d
020			_a9781394284412
041			_aEnglish
082			_a006.6
100			_aFunatomi, Takuya _eEditor _96667
100			_aOkabe, Takahiro _eCo-Editor _96668
245			_aComputational imaging for scene understanding: transient, spectral, and polarimetric analysis
250			_a1st ed.
260			_aNew Jersey: _bWiley Data and Cybersecurity, _c2024.
300			_axv, 322p.
500			_aMost 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.
650			_aSpectral Modeling and Separation of Reflective‐Fluorescent Scenes _96669
650			_aFar Infrared Light Transport Decomposition _96670
650			_aShape from Polarization and Shading _96671
856			_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=10554375
942			_cEB
999			_c1655 _d1655