๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

AI3

[Overview] Image Formation Image Formation : Projection of 3D scene onto 2D plane : scene๊ณผ image๊ฐ„์˜ geometric and photometric relation์— ๋Œ€ํ•ด์„œ ์ดํ•ดํ•  ํ•„์š”๊ฐ€ ์žˆ์Œ - geometric : scene์˜ ํ•œ point๊ฐ€ ์žˆ์„ ๋•Œ, image์— ์–ด๋–ป๊ฒŒ ํ‘œํ˜„๋˜๋Š”์ง€์˜ ๊ด€์  - photometric : scene์˜ brightness์™€ apearance๊ฐ€ image์—์„œ๋Š” ์–ด๋–ป๊ฒŒ ํ‘œํ˜„๋˜๋Š”์ง€์˜ ๊ด€์  Topics : (1) Pinhole and Perspective Projection - ๊ฐ€์žฅ ๊ธฐ๋ณธ์ด ๋˜๋Š”, ์—ญ์‚ฌ๊ฐ€ ๊ธด pinhole ์นด๋ฉ”๋ผ์— ๋Œ€ํ•ด์„œ ์•Œ์•„๋ณด๊ฒ ์Œ - ๋ฌผ๋ก  ์žฅ์ ๋„ ๋งŽ์€ ์นด๋ฉ”๋ผ์ด์ง€๋งŒ (can produce great clarity) ๋น›์„ ๋ชจ์œผ๋Š”๋ฐ ๋ฌธ์ œ๊ฐ€ .. 2024. 4. 6.
Lecture 2. Image Classification Image Classification What is Image Classification? Example : Input : ๊ณ ์–‘์ด ์‚ฌ์ง„ ์ปดํ“จํ„ฐ๋Š” ์‚ฌ์ „์— ์ •ํ•ด์ง„ label๋“ค์˜ ์ง‘ํ•ฉ์„(predetermined set of labels) ๊ฐ€์ง€๊ณ , input๊ฐ’๊ณผ ์ผ์น˜ํ•˜๋Š” label๊ฐ’์„ output์œผ๋กœ ์ถœ๋ ฅํ•˜๋„๋ก ๊ณ„์‚ฐํ•œ๋‹ค. Output : Cat Semantic Gap (์˜๋ฏธ์  ์ฐจ์ด) ์ •์˜ : ์‹ค์ œ ์ด๋ฏธ์ง€๊ฐ€ ๊ฐ–๊ณ  ์žˆ๋Š” ์˜๋ฏธ์™€ ์ปดํ“จํ„ฐ๊ฐ€ ๋ณด๋Š” ํ”ฝ์…€๊ฐ’ ์˜๋ฏธ์˜ ์ฐจ์ด ์šฐ๋ฆฌ๋Š” ์‰ฝ๊ฒŒ ๊ณ ์–‘์ด๋ฅผ ๋ณด๊ณ  "๊ณ ์–‘์ด"์ž„์„ ๋ถ„๋ฅ˜ํ•  ์ˆ˜ ์žˆ์ง€๋งŒ, ์ปดํ“จํ„ฐ์˜ ๊ฒฝ์šฐ์—๋Š” ํ•˜๋‚˜์˜ image๊ฐ€ ๊ฑฐ๋Œ€ํ•œ ์ˆซ์ž ๊ทธ๋ฆฌ๋“œ(gigantic grid of numbers)๋กœ ๋ณด์ด๊ธฐ ๋•Œ๋ฌธ์— ๊ณ ์–‘์ด๋ฅผ ๋ฐ”๋กœ ์—ฐ์ƒํ•  ์ˆ˜ ์—†๋Š” ๊ฒƒ์ด๋‹ค. Challenges : Viewpoin.. 2024. 2. 16.
Lecture 13. Generative Models Overview - Unsupervised Learning - Generative Models PixelRNN and PixelCNN Variational Autoencoders (VAE) Generative Adversarial Networks (GAN) Classification : Input : Image Output : Text (Label) Object Detection : Input : Image Output : Bounding Boxes of instances Semantic Segmentation (having label for every pixel) : ? Image Captioning : Input : Image Output : Caption (form of natural languag.. 2024. 2. 13.

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