๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

Study23

[HCI/Graphics] Why would gamers use Low Graphics? / Visual Clutter in First-person shooter ์—ฌ๋ฆ„๋ฐฉํ•™ ๋™์•ˆ ๊ต์ˆ˜๋‹˜๊ณผ ํ•จ๊ป˜ ์—ฐ๊ตฌํ•˜์—ฌ SIGGRAPH’2023 ํ”„๋ก ํ‹ฐ์–ด์Šค ์›Œํฌ์ƒต์— ๋ฐœํ‘œํ•œ ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค. ์ธํ„ฐ๋„ท์— ๊ฒŒ์ž„ ๊ทธ๋ž˜ํ”ฝ ์„ธํŒ…์„ ์กฐ๊ธˆ๋งŒ ์ฐพ์•„๋ณด์•„๋„ ์ˆ˜๋งŽ์€ ์œ ์ €๋“ค์ด Low quality setting์œผ๋กœ ํ”Œ๋ ˆ์ดํ•˜๊ณ ์ž ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๊ทธ ์ด์œ ๋Š” ๋ฌด์—‡์ผ๊นŒ? 1. Trade-off with frame rates ์ปดํ“จํ„ฐ ์‚ฌ์–‘๋งˆ๋‹ค ๋‹ค๋ฅด๊ฒ ์ง€๋งŒ, ์ผ๋ฐ˜์ ์œผ๋กœ ๊ทธ๋ž˜ํ”ฝ์„ high quality๋กœ ์„ค์ •ํ•˜๋ฉด ์ดˆ๋‹น ๋ณผ ์ˆ˜ ์žˆ๋Š” frame์ด ์ ์–ด์ง„๋‹ค. ๋‹ค์‹œ ๋งํ•ด fps(frame per second)๊ฐ€ ๋–จ์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค. ์ƒ๋Œ€๋ฐฉ๋ณด๋‹ค ๋Šฆ๊ฒŒ ์ƒ๋Œ€๋ฐฉ์„ ๋ฐœ๊ฒฌํ•œ๋‹ค๋Š” ๊ฒƒ์€ ๊ณง ํŒจ๋ฐฐ๋กœ ์ง๊ฒฐ๋  ์ˆ˜ ์žˆ๋Š” ๋ฌธ์ œ์ด๋‹ค. 2. Stretched targets ์ผ๋ถ€๋Ÿฌ ํ™”๋ฉด์„ ์ฐŒ๊ทธ๋ŸฌํŠธ๋ ค์„œ ์ (target)์ด ์ปค์ ธ ๋ณด์ด๊ฒŒ ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๊ฒƒ์ด ์‹ค์ œ.. 2023. 8. 25.
[AI] 2023-2ํ•™๊ธฐ ๊ณต๋ถ€ํ•  ๋‚ด์šฉ ์š”์•ฝ [์ง„๋„] linear regression logistic regression decision tree ensemble learning (Bagging&Boosting) dimension reduction (PCA & LDA) neaural networks (Basics/Backpropagation/In pratice) CNNs(Convolutional Neaural Networks) clustering [์„ ์ˆ˜๊ณผ๋ชฉ] linear algebra, probability, calculus, optimization, data structure and Python [์ฐธ๊ณ ์ž๋ฃŒ] Pattern recognition and machine learning (C. Bishop) An introduction to statis.. 2023. 8. 14.
[JOV-2007] Measuring visual clutter(๋…ผ๋ฌธ๋ฆฌ๋ทฐ) ์˜ค๋Š˜ ์š”์•ฝํ•ด๋ณผ ๋…ผ๋ฌธ์€ ์ตœ๊ทผ ์ฝ์€ Ruth Rosenholtz, Yuanzhen Li, Lisa Nakano, "Measuring visual clutter", Journal of Vision August 2007, Vol.7, 17. ์ž…๋‹ˆ๋‹ค. [JOV-2007]Measuring visual clutter https://doi.org/10.1167/7.2.17 Measuring visual clutter | JOV | ARVO Journals We again looked at RTs for correct trials, separating target-present from target-absent trials. For each image, we averaged RT over Gabor type, targe.. 2023. 8. 2.
[Git] Github ๊นƒํ—ˆ๋ธŒ ๋ธ”๋กœ๊ทธ ๋งŒ๋“ค๊ธฐ, HTML ๋ชฐ๋ผ๋„ ๊ฐ€๋Šฅ! - Ruby ์„ค์น˜, ์ปค์Šคํ„ฐ๋งˆ์ด์ง•, ๋ฐฐํฌ๊นŒ์ง€ ์ €๋Š” ์–ผ๋งˆ์ „ Github ๋ธ”๋กœ๊ทธ๋ฅผ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ๋Š” ์ผ์ƒ๊ธ€, ํ‹ฐ์Šคํ† ๋ฆฌ ๋ธ”๋กœ๊ทธ์—๋Š” ๊ณต๋ถ€/์—ฐ๊ตฌ ์ž๋ฃŒ๋ฅผ ํฌ์ŠคํŒ… ํ•˜๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค. ์•„์ง ๊นƒํ—ˆ๋ธŒ ๋ธ”๋กœ๊ทธ์˜ ์šฉ๋„๋Š” ์ •ํ•˜์ง€ ์•Š์•˜์œผ๋‚˜ ์•„๋งˆ ์ œ๊ฐ€ ์›น ๊ฐœ๋ฐœ์ด๋‚˜ UI ๋””์ž์ธ/๊ธฐํš์„ ์ฐ๋จนํ•˜๊ฒŒ ๋œ๋‹ค๋ฉด ๊นƒํ—ˆ๋ธŒ ๋ธ”๋กœ๊ทธ์— ์ •๋ฆฌํ•˜์ง€ ์•Š์„๊นŒ ์‹ถ์–ด์š”. ๊นƒํ—ˆ๋ธŒ ๋ธ”๋กœ๊ทธ๋Š” ๋งŒ๋“œ๋Š”๋ฐ ์‹œ๊ฐ„์ด ์กฐ๊ธˆ ๋“ค์ง€๋งŒ, ์ปค์Šคํ„ฐ๋งˆ์ด์ง•์ด ์—„์ฒญ๋‚˜๊ฒŒ ์ž์œ ๋กญ๋‹ค๋Š” ์žฅ์ ์ด ์žˆ์Šต๋‹ˆ๋‹ค. Git, HTML, ํŠนํžˆ ๋งˆํฌ๋‹ค์šด์„ ๋‹ค๋ค„๋ดค๋‹ค๋ฉด ๋งŒ๋“ค ๋•Œ ํฌ๊ฒŒ ์–ด๋ ต์ง€ ์•Š์•˜์„ ๊ฒƒ ๊ฐ™์€๋ฐ.. ์ €๋Š” HTML์„ ๋‹ค๋ค„๋ณธ ์ ์ด ์—†์–ด์„œ ์กฐ๊ธˆ ํ—ค๋งธ๋‹ต๋‹ˆ๋‹ค. ๊นƒํ—ˆ๋ธŒ ๋ธ”๋กœ๊ทธ ๋งŒ๋“ค๊ธฐ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋งŽ์€ ํฌ์ŠคํŠธ๋“ค์ด ์žˆ์ง€๋งŒ ํ•œ ๋‘๊ฐœ์˜ ๊ธ€๋งŒ ๋ด์„œ๋Š” ์‰ฝ์ง€ ์•Š๋”๋ผ๊ตฌ์š”. ๋˜ ์˜ˆ์ „ ๋ฒ„์ „์˜ ํ”„๋กœ๊ทธ๋žจ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ธ€๋“ค์„ ๋ณด๊ณ  ์˜ค๋ฅ˜๋ฅผ ์žก๊ธฐ๋„ ์–ด๋ ค์› ๊ตฌ์š”. ๊ทธ๋ž˜์„œ 2023๋…„ ๋ฒ„.. 2023. 7. 26.
[Bio] #3 CT(Computed Tomography), matlab์œผ๋กœ CT ๊ตฌํ˜„ํ•˜๊ธฐ(๋ผ๋ˆ ์—ญ๋ณ€ํ™˜) ์šฐ๋ฆฌ๊ฐ€ ํ”ํžˆ ์”จํ‹ฐ(CT) ์ดฌ์˜์ด๋ผ๊ณ  ๋งํ•˜๋Š” ์ปดํ“จํ„ฐ๋‹จ์ธต์ดฌ์˜(Computed Tomography scan)์— ๋Œ€ํ•ด ์•Œ์•„๋ณด์ž. CT๋ž€? CT scanner์˜ ๊ตฌ์กฐ๋ฅผ ๋ณด๋ฉด ์•Œ ์ˆ˜ ์žˆ๋“ฏ์ด, ์—ฌ๋Ÿฌ ๋ฐฉํ–ฅ์—์„œ ์—‘์Šค์„  ํˆฌ๊ณผ๊ธฐ๋ฒ•์œผ๋กœ ์ธ์ฒด ๋‹จ๋ฉด์„ ์ดฌ์˜ํ•˜์—ฌ ๋ณต์›ํ•˜๋Š” ์˜๋ฃŒ์˜์ƒ์ดฌ์˜๋ฒ•์ด๋‹ค. ์œ„์˜ ์‚ฌ์ง„์ฒ˜๋Ÿผ ์ธ์ฒด์˜ ํšก๋‹จ๋ฉด ํ•˜๋‚˜์— ๋Œ€ํ•ด, ์ „ ๋ฐฉํ–ฅ์—์„œ X์„ ์„ ์†ก, ์ˆ˜์‹ ํ•˜์—ฌ ์—ฌ๋Ÿฌ์žฅ์˜ ์˜์ƒ์„ ์ดฌ์˜ํ•ด ํšก๋‹จ๋ฉด ํ•˜๋‚˜์˜ ์˜์ƒ์œผ๋กœ ํ•ฉํ•œ๋‹ค. ์™ผ์ชฝ ์‚ฌ์ง„์˜ ํฐ์ƒ‰ ๊ทธ๋ž˜ํ”„๋ฅผ ๋ณด๋ฉด, ํˆฌ๊ณผํ•œ X์„ ๋“ค์ด ํ•œ ํ‰ํ–‰ํ•œ ์„ผ์„œ์— ๊ฐ์ง€๋˜๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์ด๋•Œ ์„ผ์„œ์— ๋งบํžŒ X์„  ํก๊ด‘๋„๋ฅผ ์—ฌ๋Ÿฌ ๋ฐฉํ–ฅ์— ๋Œ€ํ•ด ํ•ฉํ•œ ๋’ค ๊ทธ๋ž˜ํ”„๋กœ ์‹œ๊ฐํ™”ํ•œ ๊ฒƒ์ด ์˜ค๋ฅธ์ชฝ ์‚ฌ์ง„์˜ ์‚ฌ์ด๋…ธ๊ทธ๋žจ(sinogram)์ด๋‹ค. ์—ฌ๊ธฐ์„œ ์งš๊ณ  ๋„˜์–ด๊ฐˆ ๊ฐœ๋…์ด '๋ผ๋ˆ ๋ณ€ํ™˜(Radon transform)'์ด๋‹ค. Rf(α,s.. 2023. 7. 26.
[Bio] #2 Matlab์œผ๋กœ DFT ๊ตฌํ˜„ํ•˜๊ธฐ ์ด๋ฏธ์ง• ์‹œ์Šคํ…œ์„ ์ฒ˜๋ฆฌํ•˜๋Š” ๊ฒƒ์€ ๊ฒฐ๊ตญ ์‹ ํ˜ธ๋ฅผ ์ฒ˜๋ฆฌํ•˜๋Š” ๊ฒƒ๊ณผ ๊ฐ™๋‹ค. ๋”ฐ๋ผ์„œ ์‹ ํ˜ธ ์ฒ˜๋ฆฌ์— ๊ธฐ์ดˆ๊ฐ€ ๋˜๋Š” ํ‘ธ๋ฆฌ์— ๋ณ€ํ™˜(Fourier Transform)๊ณผ ์—ญ๋ณ€ํ™˜(Inverse Fourier Transform)์„ ์•Œ์•„์•ผ ํ•œ๋‹ค. (์‹ ํ˜ธ ๋ฐ ์‹œ์Šคํ…œ ๊ณผ๋ชฉ์„ ์—‰๋ง์œผ๋กœ ๋“ค์—ˆ๋˜ ๋‚ด๊ฒ ์ƒ๋‹นํ•œ ๊ณค์š•์ด์—ˆ๋‹ค.) ์ˆ˜ํ•™์  ์œ ๋„๋Š” ์ฐจ์น˜ํ•˜๊ณ , ๊ด‘ํ•™์ ์ธ ๊ด€์ ์—์„œ ํ‘ธ๋ฆฌ์— ๋ณ€ํ™˜์ด ์–ด๋–ป๊ฒŒ ์‚ฌ์šฉ๋˜๋Š”์ง€ ์•Œ์•„๋ณด์ž. ๊ด‘ํ•™ ๋ถ„์•ผ ๋ฟ ์•„๋‹ˆ๋ผ ์ปดํ“จํ„ฐ ๋น„์ „(Computer Vision)์—์„œ๋Š” ํŠนํžˆ, ํ‘ธ๋ฆฌ์— ๋ณ€ํ™˜์„ ์‚ฌ์šฉํ•œ๋‹ค๋Š” ๊ฒƒ์ด ์‹ ํ˜ธ๋ฅผ spatial domain์—์„œ frequency domain์œผ๋กœ ๋ณ€ํ™˜ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. Discreteํ•œ domain์—์„œ ์‹ ํ˜ธ๋ฅผ ํ‘ธ๋ฆฌ์— ๋ณ€ํ™˜ํ•  ๋•Œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ณต์‹์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฅผ ์ด์‚ฐ ํ‘ธ๋ฆฌ์— ๋ณ€ํ™˜(Discrete.. 2023. 7. 25.
[Bio] #1 ์ „๊ธฐ์ „์ž์—์„œ ๋ฐ”์ด์˜ค? ๋ฐ”์ด์˜ค์ „๊ธฐ์ „์ž ๋ธ”๋กœ๊ทธ ์ฒซ๋ฒˆ์งธ ๊ฒŒ์‹œ๋ฌผ์ด๋‹ค. ๊ธฐ๋…์ ์ธ ์ฒซ ๊ธ€์€ ์ง€๋‚œ 23-1ํ•™๊ธฐ ๋‚˜๋ฅผ ๊ดด๋กญํ˜”๋˜ '๋ฐ”์ด์˜ค์ „๊ธฐ์ „์ž๊ธฐ์ดˆ' ๊ณผ๋ชฉ์—์„œ ๊ณต๋ถ€ํ•œ ๋‚ด์šฉ์„ ์ ์–ด ๋ณด๊ธฐ๋กœ ํ–ˆ๋‹ค. ์ „๊ธฐ์ „์ž๊ณตํ•™์ธ๋ฐ ๋ฐ”์ด์˜ค? 1๋…„์˜ ํœดํ•™์„ ๋งˆ์น˜๊ณ  ์ƒˆ๋กœ ์‹œ์ž‘ํ•˜๋Š” ๋งˆ์Œ์œผ๋กœ 2023๋…„์„ ๋งž์ดํ–ˆ๋‹ค. ํ•™๋ถ€ 3ํ•™๋…„์„ ์‹œ์ž‘ํ•˜๋˜ ๋‚ด๊ฒŒ ๊ฐ€์žฅ ๊ณ ๋ฏผ์ด๋˜ ๊ฒƒ๋“ค์€ (๋ฌผ๋ก  ์ง€๊ธˆ๋„) > ์–ด๋–ค ๊ธธ์„ ๊ฐ€์ง€? > ๋ญ ํ•ด๋จน๊ณ  ์‚ด์ง€? > ๋Œ€ํ•™์›? ์ทจ์—…? ์ด๋‹ค. 3ํ•™๋…„์ด ๋˜๋‹ˆ ์ „๊ณตํ•„์ˆ˜๊ฐ€ ์•„๋‹Œ ์ „๊ณต์„ ํƒ ๊ณผ๋ชฉ๋“ค์„ ๋งŽ์ด ๋“ฃ๊ฒŒ ๋˜์—ˆ๋Š”๋ฐ, ๋‚˜๋Š” >๋ฐ”์ด์˜ค์ „๊ธฐ์ „์ž๊ธฐ์ดˆ 2023. 7. 25.