±èÀº¼·, ±è¿ë±¸, ÃÖÀ¯ÁÖ, ¡°¸ÖƼ¸ðµå Ä¿³Î °¡ÁßÄ¡ ±â¹Ý °´Ã¼ ÃßÀû¡±, Çѱ¹ÄÄÇ»Åͱ׷¡ÇȽºÇÐȸ³í¹®Áö, Vol. 21, No. 4, pp. 11-17, 2015. 9.
ÀüÁö¿µ, ÀüÁöÀ±, È«¹Î, ¿°È¿¼·, ÃÖ¿µÈ¯, ÃÖÀ¯ÁÖ, ¡°ÀÎÅÍ·¢Æ¼ºê ¸ð¹ÙÀÏ Áõ°Çö½Ç ÄÜÅÙÃ÷ ÀúÀÛµµ±¸ ¼³°è ¹× ±¸Çö¡±, ÀÎÅͳÝÁ¤º¸ÇÐȸ³í¹®Áö, Vol. 16, No. 4, pp. 25-37, 2015. 8.
Á¤ÁöÀº, ÀüÁöÀ±, ÃÖÀ¯ÁÖ,¡±¸ð¹ÙÀÏ AR ±â¹Ý ³¹¸»Ä«µå ±³À° ÄÜÅÙÃ÷ ¼³°è ¹× ±¸Çö¡±, Çѱ¹ÄÜÅÙÃ÷ÇÐȸ ³í¹®Áö Á¦ 15 ±Ç Á¦ 6 È£, pp. 616 - 631, 2015³â 6¿ù
º¯ÀçÈñ, ÃÖÀ¯ÁÖ, ¼Á¤±Ù,¡±´Ü¹éÁú °¡½ÃÈ ÇüÅ¿¡ µû¸¥ Á¤º¸Ç¥ÇöÀûÇÕµµ Æò°¡¡±, Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ ³í¹®Áö Á¦ 16 ±Ç Á¦ 2È£, pp. 117 - 125, 2015³â 4¿ù
Yoo-Joo Choi, Yong-Goo Kim, ¡°Target Model Construction Algorithm for Robust Real-Time Mean-Shift Tracking¡±, Sensors, Vol. 14. No. 11, 20736-20752, Nov. 03, 2014.
Ȳ¸¸¿ø, È«¹Î, ÃÖÀ¯ÁÖ, ¡°¹è°æÁ¶°ÇÀ» °í·ÁÇÑ Mean-shift ÃßÀû¿¡¼ÀÇ °´Ã¼ Å©±â ÃßÁ¤¡±, Çѱ¹Áö½ÄÁ¤º¸±â¼úÇÐȸ ³í¹®Áö, Vol. 9, No. 4, pp.519-531, Aug. 1. 2014
º¯ÀçÈñ, ÃÖÀ¯ÁÖ, ÀÌÁÖȯ, ¼Á¤±Ù, ¡°´Ü¹éÁú ÀǾàÇ° Ư¼ºÁ¤º¸Çʵå À¯¿ë¼º Æò°¡¡±, Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ ³í¹®Áö, Vol. 15, No. 4, pp.21-31, Aug. 1. 2014.
Á¤ÁöÀº, ÀüÁöÀ±, ÃÖÀ¯ÁÖ, ¡°µµ¼ À¯Çü ºÐ·ù¹ýÀ» Àû¿ëÇÑ ±³À°¿ë ¸ð¹ÙÀÏ ¾ÛÀÇ ºÐ·ù ¹× ±â´É ºÐ¼®¡±, Çѱ¹Áö½ÄÁ¤º¸±â¼úÇÐȸ ³í¹®Áö 9. No. 2, pp. 22-29, April 2014.
¿°È¿¼·, È«¹Î, ÃÖÀ¯ÁÖ, ¡°´« À±°û¼±°ú ´«µ¿ÀÚ ¿µ¿ª ÃßÃâ ±â¹Ý ½Ã¼± ÃßÁ¤ ¾Ë°í¸®ÁòÀÇ ¼³°è ¹× ±¸Çö¡±, Çѱ¹ÄÄÇ»Åͱ³À°ÇÐȸ ³í¹®Áö, Vol. 17. No. 2, pp. 107-113, 4
ÀÌ¿øÀç, ÀÌÁÖȯ, ÃÖÀ¯ÁÖ,¡±µ¿ÀϽÃÂ÷¿¡ ´ëÇÑ 3D µð½ºÇ÷¹ÀÌ ÀåÄ¡º° ÀÔü°¨ Â÷ÀÌ ºÐ¼®¡±, Çѱ¹Áö½ÄÁ¤º¸±â¼úÇÐȸ ³í¹®Áö, Á¦8±Ç Á¦2È£, pp. 109~116, 2013³â 4¿ù
ÀÌ¿øÀç, ÃÖÀ¯ÁÖ, ÀÌÁÖȯ, ¡°±íÀ̸ÊÀÇ »ó¼¼µµ¿Í ÁÖÇÇ»çüÀÇ ±íÀÌ º¯È¿¡ µû¸¥ 3D À̹ÌÁöÀÇ ÀÔüȿ°ú¡±, Çѱ¹°¨¼º°úÇÐȸ ³í¹®Áö, Á¦16±Ç Á¦1È£,pp.29~42, 2013³â 3¿ù
Yoo-Joo Choi, Ku-Jin Kim, We-Duke Cho, ¡°Intelligent Pedestrian-Search System Based on Color Queries¡±, Information Journal, Vol. 15, No. 5, pp. 2193-2206, 2012. 5.
Seon-Min Rhee, Yeo-Jin Yoon, Il-Kyu Shin, Young-Guk Kim, Yoo-Joo Choi and Soo-Mi Choi, ¡°Stereo Image Synthesis by View Morphing with Stereo Consistency¡±, Applied Mathematics & Information Science, Vol. 6, No. 1S, pp. 195S-200S, 2012, 1.