Dae-Nyeon Kim, Hoang Hon Trinh, and Kang-Hyun Jo, Geometrical Building Analysis for Outdoor Environment Understanding of Autonomous Navigation Robot, Journal of ICROS, Vol.16, No.3, pp.277-285, March 2010.
[2]
Hoang Hon Trinh, Dae-Nyeon Kim, and Kang-Hyun Jo, Supervised training database for building recognition by using cross ratio invariance and SVD-based method, International Journal of Artificial Intelligence (Neural Networks, and Complex Problem-Solving Technologies), Vol.32, No.2, pp.216-230, April 2010.
Dae-Nyeon Kim and
Hoang Hon Trinh and Kang-Hyun Jo, "Object Recognition by Segmented Regions Using Multiple Cues on Outdoor Environment", International Journal of Information Acquisition, Vol. 4, No. 3, pp. 205-213,, 2007.
Dae-Nyeon Kim, Hoang Hon Trinh and Kang-Hyun Jo, 'Objects Analysis for Robot Navigation on Outdoor Scene', 14th Korea-Japan Joint Workshop
on Frontiers of Computer Vision, pp.130-135, Beppu, Oita, Japan2008.
[2]
Dae-Nyeon Kim, Hoang Hon Trinh and Kang-Hyun Jo, "Region Segmentation of Outdoor Scene using Multiple Features and Context Information", ICIC 2008, CCIS, pp. Shanghai, China, Sep. 2008.
[3]
Hoang Hon Trinh, Dae-Nyeon Kim and
Kang-Hyun Jo, 'Building Recognition by Using Cross Ratio and Refining the Correspondences of Planar Objects', 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision, pp.225-230, Beppu, Oita, Japan2008.
Hoang Hon Trinh, Dae-Nyeon Kim and Kang-Hyun Jo, 'Cross Ratio-Based Refinement of Local Features for Building Recognition', ICIC2008,
LNCS2008, Shanghai, Sep.2008.
[6]
Hoang Hon Trinh, Dae-Nyeon Kim and Kang-Hyun Jo, "Supervised Tranining Database by Using SVD-based Method for Building Recognition", International Conference on Control, Automation and Systems, pp.2776-2781,Seoul,Korea,2008.
2007
[1]
Taeho Kim, Dae-Nyeon Kim and Kang-Hyun Jo, 'Algorithm of extending background model and object detection under moving camera', ICMT2007, [ Best Paper
Awarded!! ]2007.
[2]
Young Soo Suh, Sang Kyeong Park, Dae-Nyeon Kim and Kang-Hyun Jo, 'Remote control of a moving robot using the virtual link', Proc. ICRA
2007, Rome, Italy, Apr.2007.
[3]
Dae-Nyeon Kim, Hoang Hon Trinh and
Kang-Hyun Jo, "Outdoor Environment Object Recognition by Regions Segmentation Multiple Cue-based for Robot Navigation", ICIC 2007, LNCS, pp. Qingdao, China, Aug.,2007.
[4]
Hoang Hon Trinh, Dae-Nyeon Kim and Kang-Hyun Jo, 'Face-based Multiple Building Analysis for Robot Intelligence', ICIC 2007, Applied
Mathematics and Computation, pp. Qingdao, China, Aug.2007.
[5]
Hoang Hon Trinh, Dae-Nyeon Kim and Kang-Hyun Jo, "Structural Analysis of Multiple Building for Mobile Robot Intelligence", SICE 2007, Takashima, Japan, Sep.2007.
Hoang Hon Trinh, Dae-Nyeon Kim, Hyun-Uk Chae and Kang-Hyun Jo, "Geometrical Feature-based Wall Region and SIFT for Building Recognition", International Symposium on Electrical-Electronics Engineering(ISEE) 2007, pp.74-79, Vietnam,2007.
2006
[1]
Dae-Nyeon Kim and Kang-Hyun Jo, "Environment Understanding using Segmented Region by Multiple Features", SICE-ICASE International Joint Conference, Busan, Korea,2006.
[2]
Dae-Nyeon Kim, Kang, Hyun-Deok, Taeho Kim and
Kang-Hyun Jo, "Object Recognition using Segmented Region and Multiple Features on Outdoor Environments", International Forum on Strategic Tehnologies, Ulsan, Korea,2006.
2005
[1]
Dae-Nyeon Kim and Kang-Hyun Jo, "Region Segmentation using Multiple Features for Environment Understanding", Univ. of Ulsan &
Ritsumeikan Univ. Joint Workshop on Recent Advances in Mechatronics and Robotics,2005.
2004
[1]
Dae-Nyeon Kim and Kang-Hyun Jo, "Region Segemntation for Environment Understanding using Multiple Features", Conf. on Korean Society of
Digital Arts Media, Ulsan, Korea2004.
[2]
Dae-Nyeon Kim and Kang-Hyun Jo, "Region Segmentation for Environment Understanding using Spatial Frequency", 8th Korea-Russia
International Symposium on Science and Technology, Vol. 1, pp. 74-77,2004.
2003
[1]
Dae-Nyeon Kim and Kang-Hyun Jo, "Environment Understanding by Multiple Feature-Based Region Segmentation", 7th Korea-Russia
International Symposium on Science and Technology, Vol. 2, pp. 119-124,2003.