Robotics and Computer Vision Lab

Publications

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저 자 Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, In So Kweon
학 회 IEEE International Conference on Robotics and Automation (ICRA)
Notes ACK 지경부
논문일시(Year) 2009
논문일시(Month) 05
Shape is one of the useful information for object detection. The human visual system can often recognize objects based on the 2-D outline shape alone. In this paper, we address the challenging problem of shape matching in the presence of complex background clutter and occlusion. To this end, we propose a graph-based approach for shape matching. Unlike prior methods which measure the shape similarity without considering the relation among edge pixels, our approach uses
the connectivity of edge pixels by generating a graph. A group of connected edge pixels, which is represented by an ”edge” of the graph, is considered together and their similarity cost is defined for the ”edge” weight by explicit comparison with the
corresponding template part. This approach provides the key advantage of reducing ambiguity even in the presence of background clutter and occlusion. The optimization is performed by means of a graph-based dynamic algorithm. The robustness of our method is demonstrated for several examples including long video sequences. Finally, we applied our algorithm to our grasping robot system by providing the object information in the form of prompt hand-drawn templates.

List of Articles
94. A three-layered system architecture for behavior-based mobile robots
M. Watanabe, K. Onoguchi, In So Kweon, Y. Kuno
IEEE International Conference on Robotics and Automation (ICRA) 1992 / 05
93. Vision-based behaviors for indoor mobile robots
In So Kweon, K. Onoguchi, M. Watanabe, Y. Kuno
Information Processing Society of Japan Workshop on Computer Vision 1992 / 01
92. Vehicle control using target tracking
K. Onoguchi, M. Watanabe, In So Kweon, Y. Kuno
Information Processing Society of Japan Workshop on Computer Vision 1991 / 07
91. Extracting topographic terrain features for outdoor mobile robots
In So Kweon, T. Kanade
IEEE International Conference on Robotics and Automation (ICRA) 1991 / 04
90. Behavior-based mobile robot using multiple sensors
In So Kweon, M. Watanabe, K. Onoguchi, Y. Kuno
The 1st Korea-Japan Joint Conference on Computer Vision 1991 / 10
89. High resolution terrain map from multiple sensor data
In So Kweon, T. Kanade
IEEE International Workshop on Intelligent Robots and Systems (IROS) 1990 / 07
88. A mobile robot for lunar surface operations
Bares, In So Kweon, D. Wettegreen, W. Whittaker
NASA Conference on Space Telerobotics 1990 / 03
87. Methods for identifying footfall positions for a legged robot
Caillas, In So Kweon, E. Krotkov, M. Hebert
IEEE International Workshop on Intelligent Robots and Systems (IROS) 1989 / 09
86. Terrain mapping for a roving planetary explorer
M. Hebert, E. Krotkov, In So Kweon, T. Kanade
IEEE International Conference on Robotics and Automation (ICRA) 1989 / 05
85. First results in terrain mapping for a roving planetary explorer
E. Krotkov, M. Hebert, In So Kweon, T.Kanade
NASA Conference on Space Telerobotics 1989 / 01
84. Sensor fusion of range and reflectance data for outdoor scene analysis
In So Kweon, M. Hebert, T. Kanade
NASA Workshop on Space Operations, Automation, and Robotics 1988 / 07
83. Perception for rugged terrain
In So Kweon, M. Hebert, T. Kanade
SPIE International Symposium on Intelligent Robots and Computer Vision 1988 / 11
82. CMU sidewalk navigation system: A blackboard-based outdoor navigation system using sensor fusion with colored-range images
Y. Goto, K. Matsuzaki, In So Kweon, T. Obatake
Fall Joint Computer Conference (FJCC) 1986 / 11
81. Automatic Method for Closed Eye Correction
Jean-Charles Bazin, D.Q. Pham, In So Kweon, Kukjin Yoon
ICIP'09 2009 / 11
80. Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application
Jean-Charles Bazin, Kukjin Yoon, In So Kweon, C. Demonceaux, P. Vasseur
BMVC'09 2009 / 09
79. Contextual Decomposition of Multi-Label Images.
Teng Li, Tao Mei, Shuicheng Yan, In So Kweon, Chilwoo Lee
Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR2009) 2009 / 06
78. VideoM: Multi-Video Synopsis.
Teng Li, Tao Mei, In So Kweon
In association with IEEE International Conference on Data Mining (ICDM2008) 2008 / 12
77. A Semantic Region Descriptor For Local Feature Based Image Categorization.
Teng Li, In So Kweon
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2008 / 03
76. Learning Optimal Compact Codebook for Efficient Object Categorization.
Teng Li, Tao Mei, In So Kweon
In IEEE 2008 Workshop on Application of Computer Vision (WACV) 2008 / 01
» Graph-Based Robust Shape Matching for Robotic Application
Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2009 / 05
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