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๊ฒ€์ฆ๋œ ํŒŒํŠธ๋„ˆ ์ œํœด์‚ฌ ์ž๋ฃŒ

Creating Tetromino-based Puzzle from High-Resolution Image

๋ฐฉ๋Œ€ํ•œ 850๋งŒ๊ฑด์˜ ์ž๋ฃŒ ์ค‘ ์ฃผ์ œ๋ณ„๋กœ ๋งŒ๋“ค์ˆ˜ ์žˆ๋Š” ์ตœ์ ์˜ ์‚ฐ์ถœ๋ฌผ์„ ํ•ดํ”ผ ์บ ํผ์Šค์—์„œ ์ฒดํ—˜ ํ•˜์„ธ์š” ์ „๋ฌธ๊ฐ€์˜ ์ง€์‹๊ณผ ์ธ์‚ฌ์ดํŠธ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์‰ฝ๊ณ  ํญ๋„“๊ฒŒ ์ดํ•ดํ•˜๊ณ  ์ ์šฉํ• ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ๋†“์น˜์ง€ ๋งˆ์„ธ์š”
8 ํŽ˜์ด์งฟ’
์–ด๋„๋น„ PDF
์ตœ์ดˆ๋“ฑ๋ก์ผ 2023.04.05 ์ตœ์ข…์ ฟ’์ž‘์ผ 2018.03
8P ๋ฏธ๋้ฉ๋ณด๊ธฐ
Creating Tetromino-based Puzzle from High-Resolution Image
  • * ๋ณธ ๋ฌธ์„œ๋Š” ๋ฐฐํฌ์šฉ์œผ๋กœ ๋ณต์‚ฌ ๋ฐ ํŽธ์ง‘์ด ๋ถˆ๊ฐ€ํ•ฉ๋‹ˆ๋‹ค.

    ๋ฏธ๋้ฉ๋ณด๊ธฐ

    ์„œ์่ง์ •๋ต–

    ยท ๋ฐœํ–‰๊ธฐ๊ด€ : ํ•œ๊ตญ์ปดํ“จํ„ฐ๊ฒŒ์ž„ํ•™ํšŒ
    ยท ์ˆ˜๋ก์ง€ ์ •๋ณด : ํ•œ๊ตญ์ปดํ“จํ„ฐ๊ฒŒ์ž„ํ•™ํšŒ ๋…ผ๋ๅฉ์ง€ / 31๊ถŒ / 1ํ˜ธ
    ยท ์ €์ž๋ช… : Jiwon Kim, Yujung Kim, Eunjin Lee, Soyoung Hong, Hyukmin Kwon, Kyungha Min

    ๋ชฉ์ฐจ

    ABSTRACT
    1. Introduction
    2. Related research
    3. Puzzle generation algorithm
    3.1 Pixelation
    3.1.1 Superpixel calculation
    3.1.2 Palette creation and generalization
    3.2 Puzzle creation
    4. Implementation and result
    5. Conclusion and Future Directions
    Acknowledgement
    Reference

    ์ดˆ๋ก

    4 ๊ฐœ์˜ ์‚ฌ๊ฐํ˜•์œผ๋กœ ๊ตฌ์„ฑ๋œ ๋„ํ˜•๋“ค์˜ ์ง‘ํ•ฉ์ธ ํ…ŒํŠธ๋กœ๋ฏธ๋…ธ๋Š” ๊ฐ€์žฅ ์œ ๋ช…ํ•œ ๊ฒŒ์ž„ ์ค‘์˜ ํ•˜๋‚˜์ธ ํ…ŒํŠธ๋ฆฌ์Šค์—์„œ ์‚ฌ ์šฉ๋˜๋ฉด์„œ ๋„๋ฆฌ ์•Œ๋ ค์กŒ๋‹ค. ์ตœ๊ทผ์—๋Š” ํ…ŒํŠธ๋ฆฌ์Šค๋ฅผ ๋ชจ๋ฐฉํ•˜๋Š” ๋‹ค์–‘ํ•œ ๋ณด๋“œ ๊ฒŒ์ž„๋“ค์ด ์ œ์ž‘๋˜์–ด ์ €ํ•™๋…„ ํ•™์ƒ๋“ค์˜ ๊ต์œก์—์„œ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ๋…ผ๋ๅฉ์—์„œ๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ์ž…๋ ฅํ•œ ๊ณ ํ•ด์ƒ๋„์˜ ์˜์ƒ์œผ๋กœ๋ถ€ํ„ฐ ํ…ŒํŠธ๋กœ๋ฏธ๋…ธ์— ๊ธฐ๋ฐ˜ํ•œ ํผ์ฆ์„ ์ƒ์„ฑํ•˜๋Š” 2๋‹จ๊ณ„ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ•œ๋‹ค. 1๋‹จ๊ณ„์—์„œ๋Š” ์Šˆํผ ํ”ฝ์…€ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ด์šฉํ•ด์„œ ๊ณ ํ•ด์ƒ๋„์˜ ์ž…๋ ฅ ์˜์ƒ์„ ๊ณตํ†ต๋œ ์ƒ‰ ํŒ”๋ ˆํŠธ๋ฅผ ๊ณต์œ ํ•˜๋Š” ์ €ํ•ด์ƒ๋„์˜ ํ”ฝ์…€ ์•„ํŠธ ์˜์ƒ์œผ๋กœ ๋ณ€ํ™˜ํ•œ๋‹ค. 2๋‹จ๊ณ„์—์„œ๋Š” ํƒ€์ผํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์„ ์ด์šฉํ•ด์„œ ํ”ฝ์…€ ์•„ํŠธ ์˜์ƒ์„ ์ฑ„์šฐ๋Š” 4x4 ๋˜๋Š” 8x8 ํฌ๊ธฐ์˜ ํ…ŒํŠธ๋กœ๋ฏธ๋…ธ ํƒ€์ผ์„ ์ƒ์„ฑํ•œ๋‹ค. ์˜์ƒ์„ ํƒ€์ผ๋กœ ์ฑ„์šฐ๋Š” ๊ณผ์ •์€ ํ”ฝ์…€ ์•„ํŠธ ์˜์ƒ์˜ ํ”ฝ์…€์˜ ์ƒ‰๊ณผ ํ…ŒํŠธ๋กœ๋ฏธ๋…ธ ํƒ€์ผ์˜ ์ƒ‰์˜ ์ฐจ์ด๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ด์šฉํ•œ๋‹ค. ์ด ๊ณผ ์ •์—์„œ ํผ์ฆ์˜ ๋ณต์žก๋„๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด์„œ ํ”ฝ์…€ ์•„ํŠธ ์˜์ƒ์˜ ํ•ด์ƒ๋„๋ฅผ ์กฐ์ ˆํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ํ…ŒํŠธ๋กœ๋ฏธ๋…ธ์— ๊ธฐ๋ฐ˜ํ•œ ๊ฒŒ์ž„์€ ๋ณด๋“œ ๊ฒŒ์ž„๋ฟ ์•„๋‹ˆ๋ผ ์ปดํ“จํ„ฐ ๊ฒŒ์ž„์˜ ํ˜•ํƒœ๋กœ๋„ ๊ตฌํ˜„ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋‹ค์–‘ํ•œ ์‚ฌ์šฉ์ž ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด์„œ ๊ฒŒ์ž„์˜ ์žฌ๋ฏธ๋ฅผ ๊ฒ€์ฆํ•œ๋‹ค.

    ์˜์–ด์ดˆ๋ก

    Tetromino, which is a set of combinations of four rectangles, is widely recognized, since it is used in TetrisTM, one of the most famous computer games. Nowadays, several board games that mimic TetrisTM are released for education of under-aged children. We present a two-stage algorithm that produces tetromino-based puzzle from user-input high-resolution images. In the first stage, we convert a high-resolution image into a low-resolution pixelated image using a superpixel algorithm. The pixelated image is generalized to share a set of colors from a common palette. In the second stage, we build a series of 4x4 and 8x8 tiles of tetrominos and fill the pixelated image using the tiles. The strategy of filling the image is to minimize the color difference between the color of the tetrominoes in the tiles and the color of the corresponding pixels in the pixelated image. We can control the resolution of the pixelation to control the complexity of the puzzle. We can manufacture the tetromino tile to build a board game as well as a computer-based game using our puzzle. Through various user-study, our game is proved to be very attractive for people of various ages.

    ์ฐธ๊ณ ์ž๋ฃŒ

    ยท ์—†์Œ
  • ์ž๋ฃŒํ›„๊ธฐ

    Ai ๋ฆฌ๋ทฐ
    ์งฟ’์‹ํŒ๋งค์ž์˜ ์ž๋ฃŒ๋Š” ํ•ญ์ƒ ๊ธฐ๋Œ€ ์ด์ƒ์˜ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ํ•™์—…์—๋„ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์–ด ๋งค์šฐ ๋งŒ์กฑ์Šค๋Ÿฝ์Šต๋‹ˆ๋‹ค. ์—ฌ๋Ÿฌ๋ถ„๊ป˜๋„ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค!
    • ์ž์ฃผ๋ฌป๋Š”์งˆ๋ๅฉ์˜ ๋‹ต๋ณ€์„ ํ™•์ธํ•ด ์ฃผ์„ธ์š”

      ํ•ดํ”ผ์บ ํผ์Šค FAQ ๋”๋ต–๊ธฐ

      ๊ผญ ์•Œ์•„์ฃผ์„ธ์š”

      • ๋ณธ ํ•™์ˆ ๋…ผ๋ๅฉ์€ (์ฃผ)์ฝ”๋้ฉ์•„์Šค์นผ๋ผ์™ฟ’ ๊ฐ ํ•™ํšŒ๊ฐ„์— ์ €์ž‘๊ถŒ๊ณ„์•ฝ์ด ์ฒด๊ฒฐ๋œ ๊ฒƒ์œผ๋กœ AgentSoft๊ฐ€ ์ œ๊ณต ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
        ๋ณธ ์ €์ž‘๋ฌผ์„ ๋ถˆ๋ฒ•์ ์œผ๋กœ ์ด์šฉ์‹œ๋Š” ๋ฒ•์ ์ธ ์ œ์žฌ๊ฐ€ ๊ฐ€ํ•ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
      • ํ•ดํ”ผ์บ ํผ์Šค๋Š” ๊ตฌ๋งค์ž์™ฟ’ ํŒ๋งค์ž ๋ชจ๋‘๊ฐ€ ๋งŒ์กฑํ•˜๋Š” ์„œ๋น„์Šค๊ฐ€ ๋˜๋„๋ก ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์•„๋ž˜์˜ 4๊ฐ€์ง€ ์ž๋ฃŒํ™˜๋ถˆ ์กฐ๊ฑด์„ ๊ผญ ํ™•์ธํ•ด์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
        ํŒŒ์ผ์˜ค๋ฅ˜ ์ค‘๋ณต์ž๋ฃŒ ์ €์ž‘๊ถŒ ์—†์Œ ์„ค๋ช…๊ณผ ์‹ค์ œ ๋‚ด์šฉ ๋ถˆ์ผ์น˜
        ํŒŒ์ผ์˜ ๋‹ค์šด๋กœ๋“œ๊ฐ€ ์ œ๋Œ€๋กœ ๋˜์ง€ ์•Š๊ฑฐ๋‚˜ ํŒŒ์ผํ˜•์‹์— ๋งž๋Š” ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ์ •์ƒ ์ž‘๋™ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ ๋‹ค๋ฅธ ์ž๋ฃŒ์™ฟ’ 70% ์ด์ƒ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜๋Š” ๊ฒฝ์šฐ (์ค‘๋ณต์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๊ฑฐ ํ•„์š”ํ•จ) ์ธํ„ฐ๋„ท์˜ ๋‹ค๋ฅธ ์‚ฌ์ดํŠธ, ์—ฐ๊ตฌ๊ธฐ๊ด€, ํ•™๊ป“, ์„œ์  ๋“ฑ์˜ ์ž๋ฃŒ๋ฅผ ๋„์šฉํ•œ ๊ฒฝ์šฐ ์ž๋ฃŒ์˜ ์„ค๋ช…๊ณผ ์‹ค์ œ ์ž๋ฃŒ์˜ ๋‚ด์šฉ์ด ์ผ์น˜ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ

    โ€œํ•œ๊ตญ์ปดํ“จํ„ฐ๊ฒŒ์ž„ํ•™ํšŒ ๋…ผ๋ๅฉ์ง€โ€์˜ ๋‹ค๋ฅธ ๋…ผ๋ๅฉ๋„ ํ™•์ธํ•ด ๋ณด์„ธ์š”!

    ํ•จ๊ป˜ ๊ตฌ๋งคํ•œ ์ž๋ฃŒ๋„ ํ™•์ธํ•ด ๋ณด์„ธ์š”!

    ์ฐพ์œผ์‹œ๋˜ ์ž๋ฃŒ๊ฐ€ ์•„๋‹Œ๊ฐ€์š”?

    ์ง€๊ธˆ ๋ณด๋Š” ์ž๋ฃŒ์™ฟ’ ์—ฐ๊ด€๋˜์–ด ์žˆ์–ด์š”!
    ์™ผ์ชฝ ํ™”์‚ดํ‘œ
    ์˜ค๋ฅธ์ชฝ ํ™”์‚ดํ‘œ
    ๋ฌธ์„œ ์ดˆ์•ˆ์„ ์ƒ์„ฑํ•ด์ฃผ๋Š” EasyAI
    ์•ˆ๋…•ํ•˜์„ธ์š”. ํ•ดํ”ผ์บ ํผ์Šค์˜ ๋ฐฉ๋Œ€ํ•œ ์ž๋ฃŒ ์ค‘์—์„œ ์„ ๋ณ„ํ•˜์—ฌ ๋‹น์‹ ๋งŒ์˜ ์ดˆ์•ˆ์„ ๋งŒ๋“ค์–ด์ฃผ๋Š” EasyAI ์ž…๋‹ˆ๋‹ค.
    ์ €๋Š” ์•„๋ž˜์™ฟ’ ๊ฐ™์ด ์ž‘์—…์„ ๋„์™ฟ’๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์ฃผ์ œ๋งŒ ์ž…๋ ฅํ•˜๋ฉด ๋ชฉ์ฐจ๋ถ€ํ„ฐ ๋ณธ๋ฌธ๋‚ด์šฉ๊นŒ์ง€ ์ž๋™ ์ƒ์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์žฅ๋ฌธ์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์ž‘์„ฑํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
    - ์Šคํ† ์–ด์—์„œ ๋ฌด๋ฃŒ ์บ์‹œ๋ฅผ ๊ณ„์ •๋ณ„๋กœ 1ํšŒ ๋ฐœ๊ธ‰ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ ๋ฐ”๋กœ ์ฒดํ—˜ํ•ด ๋ณด์„ธ์š”!
    ์ด๋Ÿฐ ์ฃผ์ œ๋“ค์„ ์ž…๋ ฅํ•ด ๋ณด์„ธ์š”.
    - ์œ ์•„์—๊ฒŒ ์ ํ•ฉํ•œ ๋ฌธํ•™์ž‘ํ’ˆ์˜ ๊ธฐ์ค€๊ณผ ํŠน์„ฑ
    - ํ•œ๊ตญ์ธ์˜ ๊ฐ€์น˜๊ด€ ์ค‘์—์„œ ์ •์‹ ์  ๊ฐ€์น˜๊ด€์„ ์ด๋ฃจ๋Š” ๊ฒƒ๋“ค์„ ๋ฌธํ™”์  ๋ฌธ๋ฒ•์œผ๋กœ ์ •๋ฆฌํ•˜๊ณ , ํ˜„๋Œ€ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ์ผ์–ด๋‚˜๋Š” ์‚ฌ๊ฑด๊ณผ ์‚ฌ๊ณ ๋ฅผ ๋น„๊ตํ•˜์—ฌ ์ž์‹ ์˜ ์˜๊ฒฌ์œผ๋กœ ๊ธฐ์ˆ ํ•˜์„ธ์š”
    - ์ž‘๋ณ„์ธ์‚ฌ ๋…ํ›„๊ฐ
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    ์ฑ—๋ด‡์œผ๋กœ ๊ฐ„ํŽธํ•˜๊ฒŒ ์ƒ๋‹ดํ•ด๋ณด์„ธ์š”.
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