Zobrazeno 1 - 5
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pro vyhledávání: '"Brent Pease"'
Publikováno v:
Citizen Science: Theory and Practice, Vol 6, Iss 1 (2021)
Although quality control for accuracy is increasingly common in citizen science projects, there is still a risk that spatial biases of opportunistic data could affect results, especially if sample size is low. Here we evaluate how well the sampling l
Externí odkaz:
https://doaj.org/article/3f6b1af4a79445eaab77e90a6ba653a5
Autor:
Monica Lasky, Arielle Parsons, Stephanie Schuttler, Alexandra Mash, Lincoln Larson, Ben Norton, Brent Pease, Hailey Boone, Lisa Gatens, Roland Kays
Publikováno v:
Citizen Science: Theory and Practice, Vol 6, Iss 1 (2021)
Citizen science projects that use sensors (such as camera traps) to collect data can collect large-scale data without compromising information quality. However, project management challenges are increased when data collection is scaled up. Here, we p
Externí odkaz:
https://doaj.org/article/9c6348a608ed46a8bfc275d936becb02
Publikováno v:
SIGGRAPH
one pass per subpixel sample) through the hardware rendering pipeline. The resulting image is very high quality, but the performance degrades in proportion to the number of subpixel samples used by the filter function. This paper describes algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56d72f621664d51d882c2c07fabff40f
https://doi.org/10.1145/258734.258872
https://doi.org/10.1145/258734.258872
Publikováno v:
SIGGRAPH
This paper describes algorithms for implementing accurate rendering of CSG and transparency in a hardware 3D accelerator. The algorithms are based on a hardware architecture which performs front-to-back Z-sorted shading; a multiple-pass algorithm whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338a758265595be390836eeaeedb5241
https://doi.org/10.1145/192161.192196
https://doi.org/10.1145/192161.192196
Conference
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