{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/simultaneous-surface-reflectance-and","title":"Simultaneous Surface Reflectance and Fluorescence Spectra Estimation","arxiv_id":"1605.04243","date":"2016-05-13","proceeding":null,"authors":["Henryk Blasinski","Joyce Farrell","Brian Wandell"],"abstract":"There is widespread interest in estimating the fluorescence properties of\nnatural materials in an image. However, the separation between reflected and\nfluoresced components is difficult, because it is impossible to distinguish\nreflected and fluoresced photons without controlling the illuminant spectrum.\nWe show how to jointly estimate the reflectance and fluorescence from a single\nset of images acquired under multiple illuminants. We present a framework based\non a linear approximation to the physical equations describing image formation\nin terms of surface spectral reflectance and fluorescence due to multiple\nfluorophores. We relax the non-convex, inverse estimation problem in order to\njointly estimate the reflectance and fluorescence properties in a single\noptimization step and we use the Alternating Direction Method of Multipliers\n(ADMM) approach to efficiently find a solution. We provide a software\nimplementation of the solver for our method and prior methods. We evaluate the\naccuracy and reliability of the method using both simulations and experimental\ndata. To acquire data to test the methods, we built a custom imaging system\nusing a monochrome camera, a filter wheel with bandpass transmissive filters\nand a small number of light emitting diodes. We compared the system and\nalgorithm performance with the ground truth as well as with prior methods. Our\napproach produces lower errors compared to earlier algorithms.","url_abs":"http://arxiv.org/abs/1605.04243v1","url_pdf":"http://arxiv.org/pdf/1605.04243v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"simultaneous-surface-reflectance-and","repo_url":"https://github.com/hblasins/fiToolbox","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}