000190524 001__ 190524
000190524 005__ 20190416055537.0
000190524 0247_ $$2doi$$a10.1109/TPAMI.2013.229
000190524 022__ $$a0162-8828
000190524 02470 $$2ISI$$a000340191900014
000190524 037__ $$aARTICLE
000190524 245__ $$aAutomatic and Accurate Shadow Detection using Near-Infrared Information
000190524 269__ $$a2014
000190524 260__ $$bInstitute of Electrical and Electronics Engineers$$c2014$$aLos Alamitos
000190524 300__ $$a7
000190524 336__ $$aJournal Articles
000190524 500__ $$aFor images, ground truth, and code, please see http://ivrg.epfl.ch/research/nir/shadowdetection
000190524 520__ $$aWe present a method to automatically detect shadows in a fast and accurate manner by taking advantage of the inherent sensitivity of digital camera sensors to the near-infrared (NIR) part of the spectrum. Dark objects, which confound many shadow detection algorithms, often have much higher reflectance in the NIR. We can thus build an accurate shadow candidate map based on image pixels that are dark both in the visible and NIR representations. We further refine the shadow map by incorporating ratios of the visible to the NIR image, based on the observation that commonly encountered light sources have very distinct spectra in the NIR band. The results are validated on a new database, which contains visible/NIR images for a large variety of real-world shadow creating illuminant conditions, as well as manually labelled shadow ground truth. Both quantitative and qualitative evaluations show that our method outperforms current state-of-the-art shadow detection algorithms in terms of accuracy and computational efficiency.
000190524 6531_ $$aShadow Detection
000190524 6531_ $$aNear-Infrared
000190524 6531_ $$aNCCR-MICS
000190524 6531_ $$aNCCR-MICS/EMSP
000190524 700__ $$0245738$$g169984$$aRüfenacht, Dominic
000190524 700__ $$aFredembach, Clément
000190524 700__ $$aSüsstrunk, Sabine$$g125681$$0241946
000190524 773__ $$j36$$tIEEE Transactions on Pattern Analysis and Machine Intelligence$$k8$$q1672-1678
000190524 8564_ $$uhttp://ivrg.epfl.ch/research/nir/shadowdetection$$zURL
000190524 8564_ $$uhttps://infoscience.epfl.ch/record/190524/files/TPAMI-2013-03-0151.R2_susstrunk-1.pdf$$zn/a$$s7981290$$yn/a
000190524 909C0 $$xU10429$$0252320$$pIVRL
000190524 909CO $$ooai:infoscience.tind.io:190524$$qGLOBAL_SET$$pIC$$particle
000190524 917Z8 $$x125681
000190524 917Z8 $$x125681
000190524 917Z8 $$x125681
000190524 917Z8 $$x125681
000190524 917Z8 $$x125681
000190524 937__ $$aEPFL-ARTICLE-190524
000190524 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000190524 980__ $$aARTICLE