{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T18:23:14Z","timestamp":1649182994899},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2016,6]]},"abstract":"<jats:p> In real-time rendering transparency is an important multi-fragment effect to visualize the structure of three-dimensional models. The per-pixel transmittance implicitly describes how the light is attenuated by traveling through several transparent fragments. We present a hybrid approach to fit the transmittance using the Heaviside step function and the trigonometric function. The k fragments with the largest contribution are exactly composited and the remaining ones are accurately compressed in an unified formulation. With a single geometry pass, fragments are sorted into a fixed-size array and overflowing ones are expanded by a truncated Fourier series. Then the transmittance is reconstructed on the fly to modulate the surface color in another geometry pass. Our approach favors high scene complexity but operates in bounded memory without losing noticeable high-frequency detail. We demonstrate that it is able to closely match the image quality at competitive frame rate, comparing to a realtime A-buffer implementation and other approximate transparency techniques. <\/jats:p>","DOI":"10.1142\/s0218001416540045","type":"journal-article","created":{"date-parts":[[2016,1,21]],"date-time":"2016-01-21T07:49:48Z","timestamp":1453362588000},"page":"1654004","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Transmittance Fitting for Rendering Transparency on the GPU"],"prefix":"10.1142","volume":"30","author":[{"given":"Guo","family":"Zhou","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China"},{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190, P. R. China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dengming","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China"},{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Wei","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China"},{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoqi","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China"},{"name":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2016,4,21]]},"reference":[{"key":"S0218001416540045BIB003","doi-asserted-by":"publisher","DOI":"10.1145\/964965.808585"},{"key":"S0218001416540045BIB005","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001416500014"},{"key":"S0218001416540045BIB008","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001411008749"},{"key":"S0218001416540045BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2011.07.006"},{"key":"S0218001416540045BIB014","doi-asserted-by":"publisher","DOI":"10.1145\/964965.808606"},{"key":"S0218001416540045BIB019","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2417581"},{"key":"S0218001416540045BIB020","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2012.320"},{"key":"S0218001416540045BIB021","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2010.01725.x"},{"key":"S0218001416540045BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.72"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001416540045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T07:18:11Z","timestamp":1565939891000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001416540045"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,21]]},"references-count":9,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2016,4,21]]},"published-print":{"date-parts":[[2016,6]]}},"alternative-id":["10.1142\/S0218001416540045"],"URL":"https:\/\/doi.org\/10.1142\/s0218001416540045","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,21]]}}}