Intensity-Guided Exposure Correction for Indoor LiDAR Scans

dc.contributor.authorComino Trinidad, Marcen_US
dc.contributor.authorAndújar, Carlosen_US
dc.contributor.authorBosch, Carlesen_US
dc.contributor.authorChica, Antonioen_US
dc.contributor.authorMunoz-Pandiella, Imanolen_US
dc.contributor.editorOrtega, Lidia M. and Chica, Antonioen_US
dc.date.accessioned2021-09-21T08:08:58Z
dc.date.available2021-09-21T08:08:58Z
dc.date.issued2021
dc.description.abstractTerrestrial Laser Scanners, also known as LiDAR, are often equipped with color cameras so that both infrared and RGB values are measured for each point sample. High-end scanners also provide panoramic High Dynamic Range (HDR) images. Rendering such HDR colors on conventional displays requires a tone-mapping operator, and getting a suitable exposure everywhere on the image can be challenging for 360° indoor scenes with a variety of rooms and illumination sources. In this paper we present a simple-to-implement tone mapping algorithm for HDR panoramas captured by LiDAR equipment. The key idea is to choose, on a per-pixel basis, an exposure correction factor based on the local intensity (infrared reflectivity). Since LiDAR intensity values for indoor scenes are nearly independent from the external illumination, we show that intensity-guided exposure correction often outperforms state-of-the-art tone-mapping operators on this kind of scenes.en_US
dc.description.sectionheadersShort Papers
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.identifier.doi10.2312/ceig.20211357
dc.identifier.isbn978-3-03868-160-1
dc.identifier.pages15-18
dc.identifier.urihttps://doi.org/10.2312/ceig.20211357
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20211357
dc.publisherThe Eurographics Associationen_US
dc.titleIntensity-Guided Exposure Correction for Indoor LiDAR Scansen_US
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