Robotics and Computer Vision Lab

Publications

Extra Form
저 자 Seongkee Park, In So Kweon
학 회 Asian Conference on Computer Vision (ACCV)
논문일시(Year) 2000
논문일시(Month) 01
In this paper, we propose a robust algorithm that estimates
3-D motion parameters and scene depth with calibrated
stereo image sequences. Compared with the previous linear
or least squares methods using the direct method, the proposed
method is robust to the structured noises, which are
dependent on the contents of image such as intensity edges,
depth discontinuities and occluded areas. With respect to
the hierarchical motion estimation framework, an effective
method for determining the number of iterative refinements
is also suggested by using the robust estimation framework.
Computer simulation with a synthetic image sequence and
experiments with real image sequences show that the proposed
algorithm has performed better, compared with the
existing methods.

List of Articles
22. Color edge detection using the Skellam distribution as a sensor noise model
Youngbae Hwang, In So Kweon, Jun-sik Kim
SICE Annual Conference 2007 / 09
21. Metric Localization using a Single Artificial Landmark for Indoor Mobile Robots
Gijeong Jang, Sungho Kim, Jungho Kim, In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2005 / 08
» Robust and direct estimation of 3-D motion and scene depth from stereo image sequences
Seongkee Park, In So Kweon
Asian Conference on Computer Vision (ACCV) 2000 / 01
19. Real-time vision algorithm for detection of PET defect
Chulhoon Park, In So Kweon
7th Workshop on Image Processing and Understanding (IPIU) 1995 / 01
18. Color and printer models for color halftoning
Changyeong Kim, In So Kweon
Journal of Electronic Imaging 1997 / 04
17. Image Point Matching by Triangulation
Joonwoong Lee, In So Kweon
Intelligent Automation and Soft Computing 1997 / 01
16. Scalable temporal interest points for abstraction and classification of video events
Seunghoon Han, In So Kweon
IEEE International Conference on Multimedia & Expo 2005 / 07
15. Tier information extraction using reflection charateristic of tier surface
Jaeyong Lee, In So Kweon
7th Workshop on Image Processing and Understanding (IPIU) 1995 / 01
14. Robust Invariant Features for Object Recognition and Mobile Robot Navigation
Zhe Lin, Sungho Kim, In So Kweon
IAPR workshop on Machine Vision Applications (MVA) 2005 / 05
13. Group-based multi agent system configuration for mobile robot navigation
M. Watanabe, K. Onoguchi, Y. Kuno, In So Kweon
Japan Journal of Robot 1995 / 04
12. 영상불변량을 이용한 2차원 물체인식
Kyoungsig Roh, In So Kweon
6th Workshop on Image Processing and Image Understanding (IPIU) 1994 / 01
11. Roubust Horizon and Peak Extraction for Vision-based Navigation
Jihwan Woo, In So Kweon
IAPR workshop on Machine Vision Applications (MVA) 2005 / 05
10. Extracting topographic terrain features from elevation maps
In So Kweon, T. Kanade
Computer Vision, Graphics and Image Understanding 1994 / 03
9. Kalman filter based visual tracking algorithm using tracking moving object
Joonwoong Lee, In So Kweon
Workshop on Robotic and Automation 1994 / 03
8. Silhouette Extraction for Visual Hull Reconstruction
Youngbae Hwang, Jun-sik Kim, In So Kweon
IAPR workshop on Machine Vision Applications (MVA) 2005 / 05
7. Sonar-based behaviors for behavior-based mobile robots
In So Kweon, K. Onoguchi, M. Watanabe
IEICE Transactions on Information and Systems 1993 / 04
6. Object recognition using projective invariant
Kyoungsig Roh, In So Kweon
6th Workshop on Image Processing and Image Understanding (IPIU) 1994 / 01
5. PR-SLAM in Particle Filter Framework
Gijeong Jang, Jun-sik Kim, Sungho Kim, In So Kweon
Proceeding of the IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) 2005 / 06
4. Semi-metric reconstruction from a single image using orthogonality and parallelism
Jun-sik Kim, In So Kweon
Frontiers of Computer Vision (FCV) 2005 / 01
3. High resolution terrain map from multiple sensor data
In So Kweon, T. Kanade
Special Issue on 3-D Vision of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 1992 / 02
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