Robotics and Computer Vision Lab

Publications

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저 자 Teng Li, Tao Mei, In So Kweon
학 회 In IEEE 2008 Workshop on Application of Computer Vision (WACV)
논문일시(Year) 2008
논문일시(Month) 01
Representation of images using the distribution of local features on a visual codebook is an effective method for object categorization. Typically, discriminative capability of the codebook can lead to a better performance. However, conventional methods usually use clustering algorithms to learn codebooks without considering this. This paper presents a novel approach of learning optimal compact codebooks by selecting a subset of discriminative codes from a large codebook. Firstly, the Gaussian models of object categories based on a single code are learned from the distribution of local features within each image. Then two discriminative criteria, i.e. likelihood ratio and Fisher, are introduced to evaluate how each code contributes to the categorization. We evaluate the optimal codebooks constructed by these two criteria on Caltech-4 dataset, and report superior performance of object categorization compared with traditional K-means method with the same
size of codebook.

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
» 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
75. 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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