ÇѱÛÁ¦¸ñ(Korean Title) |
cGANs(Conditional Generative Adversarial Networks) ±â¹Ý 3Â÷¿ø °´Ã¼ÀÇ ÀÓÀÇ Àç»ý ±â¹ý ¿¬±¸ |
¿µ¹®Á¦¸ñ(English Title) |
A Study on Random Reconstruction Method of 3-D Objects Based on Conditional Generative Adversarial Networks (cGANs) |
ÀúÀÚ(Author) |
½Å±¤¼º
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Kwang-Seong Shin
Seong-Yoon Shin
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¿ø¹®¼ö·Ïó(Citation) |
VOL 23 NO. 01 PP. 0157 ~ 0159 (2019. 05) |
Çѱ۳»¿ë (Korean Abstract) |
Ȧ·Î±×·¥ ±â¼úÀº 3Â÷¿ø °´Ã¼ÀÇ »ý¼º, Àü¼Û, Àç»ý °üÁ¡¿¡¼ ±â¼ú °³¹ßÀÌ È°¹ßÈ÷ ¼öÇàµÇ°í ÀÖÁö¸¸ ÇöÀç ¿©·¯ °¡Áö ÇÑ°è·Î ÀÎÇÏ¿© ´äº¸»óÅ¿¡ ¸Ó¹°·¯ ÀÖ´Ù. VR, ARÀ» ³Ñ¾î »õ·Î¿î ±â¼úÀÇ ¿ä±¸¿¡ ºÎÇÕÇϱâ À§ÇØ Áß°£ ´Ü°è·Î À¯»çȦ·Î±×·¥ ½ÃÀåÀÌ ¼ºÀåÇÏ°í ÀÖ´Â Ãß¼¼´Ù. Ȧ·Î±×·¥ÀÇ ±â¼úÀÇ ÇÙ½ÉÀº point cloud ÇüÅÂÀÇ ¹æ´ëÇÑ 3Â÷¿ø µ¥ÀÌÅ͸¦ »ý¼ºÇÏ°í ±× ¹æ´ëÇÑ µ¥ÀÌÅ͸¦ Åë½Å¸ÁÀ» ÅëÇØ ½Ç½Ã°£À¸·Î Àü¼ÛÇÏ¿© ¸ñÀûÁö¿¡¼ ¿øº»°ú °°ÀÌ Àç»ýÇÏ´Â °ÍÀÌ´Ù. º» ¿¬±¸¿¡¼´Â ¹æ´ëÇÑ 3Â÷¿ø µ¥ÀÌÅ͸¦ ½Ç½Ã°£À¸·Î Àü¼ÛÇϱâ À§ÇÑ ¹æ¹ýÀ¸·Î »ý¼ºµÈ 3Â÷¿ø °´Ã¼ Á¤º¸ÀÇ Æ¯Â¡Á¡À» Àü¼ÛÇÏ¿© ¸ñÀûÁö¿¡¼ ¿øº»°ú ºñ½ÁÇÑ ÇüÅÂÀÇ °´Ã¼·Î Àç»ýÇÏ´Â ¹æ¹ý¿¡ ´ëÇØ ¿¬±¸ÇÑ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Hologram technology has been actively developed in terms of generation, transmission, and reproduction of 3D objects, but it is currently in a state of rest because of various limitations. Beyond VR and AR, the pseudo-hologram market is growing at an intermediate stage to meet the needs of new technologies. The key to the technology of hologram is to generate vast 3 dimensional data in the form of a point cloud, transmit the vast amount of data through the communication network in real time, and reproduce it like the original at the destination. In this paper, we propose a method to transmit massive 3 - D data in real - time and transmit the minutiae points of 3 - dimensional object information to reproduce the object as similar to original. |
Å°¿öµå(Keyword) |
hologram
point cloud
motion capture
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