Robotics and Computer Vision Lab

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저 자 Dong-Geol Choi, Yunsu Bok, Jun-sik Kim, In So Kweon
학 회 International Conference on Robotics & Automation (ICRA)
논문일시(Year) 2014
논문일시(Month) 05
This paper describes a new methodology for estimating a relative pose of two 2D laser sensors.
Two dimensional laser scan points do not have enough feature information for motion tracking.
For this reason, additional image sensors or artificial landmarks have been used to find a relative pose.
We propose the method to estimate a relative pose of 2D laser sensors without any additional sensor or artificial landmark.
By scanning two orthogonal planes, we utilize only the coplanarity of the scan points on each plane and the orthogonality of the plane normals.
Experiments with both synthetic and real data show the validity of the proposed method.
To the best of our knowledge this works provides the first solution for the problem.

List of Articles
39. Robust Model-based Scene Interpretation by Multilayered Context Information
Sungho Kim, In So Kweon
Computer Vision and Image Understanding (CVIU) 2007 / 03
38. Appearance-Cloning: Photo-Consistent Scene Recovery from Multi-View Images
Howon Kim, In So Kweon
International journal of computer vision (IJCV) 2006 / 02
37. Adaptive Support-Weight Approach for Correspondence Search
Kukjin Yoon, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2006 / 04
36. Single-camera panoramic stereo system with single-viewpoint optics
Gijeong Jang, Sungho Kim, In So Kweon
Optics Letters 2006 / 01
35. 3D Target Recognition using Cooperative Feature Map Binding under Markov Chain Monte Carlo
Sungho Kim, In So Kweon
Pattern Recognition Letters 2006 / 05
34. An Effective 3D Target Recognition Imitating Robust Methods of Human Visual System
Sungho Kim, Gijeong Jang, In So Kweon
Pattern Analysis and Applications 2005 / 12
33. Geometric and algebraric constraints of projective concentric circles and their applications to camera calibration
Jun-sik Kim, Pirre Gurdjos, In So Kweon
IEEE Trans. on Pattern Analysis and Machine Intelligence 2005 / 04
32. Automatic model-based 3D object recognition by combining feature matching with tracking
Sungho Kim, In So Kweon
Machine Vision and Applications 2005 / 12
31. Combined model-based 3D object recognition
Sungho Kim, Gijeong Jang, Wangheon Lee, In So Kweon
International Journal of Pattern Recognition and Artificial Intelligence 2005 / 11
30. Voting-based Separation of Diffuse and Specular Pixels
Kukjin Yoon, In So Kweon
Electronics Letters 2004 / 09
29. Automatic edge detection using 3x3 ideal binary pixel patterns and fuzzy-based edge thresholding
Dongsu Kim, Wangheon Lee, In So Kweon
Pattern Recognition Letters 2004 / 10
28. Detecting cuts and dissolves through linear regression analysis
Seunghoon Han, In So Kweon
Electronics Letters 2003 / 10
27. Fast object recognition using dynamic programming from combination of salient line groups
Dongjoong Kang, Jongeun Ha, In So Kweon
Pattern Recognition 2003 / 01
26. COP : a new corner detector
Suncheol Bae, In So Kweon, Yoo Choong-Don
Pattern Recognition Letters 2002 / 09
25. Image-based visual servoing using position and angle of image features
Jaeseung Cho, In So Kweon
Electronics Letters 2001 / 07
24. Color indexing using chromatic invariant
Jiyeun Kim, Changyeong Kim, Seo Yang-Seck, In So Kweon
Pattern Recognition 2001 / 06
23. An edge-based algorithm for discontinuity adaptive color Image smoothing
Dongjoong Kang, In So Kweon
Pattern Recognition 2001 / 02
22. 3-D structure recovery and calibration under varying intrinsic parameters using known angles
Jongeun Ha, In So Kweon
Pattern Recognition 2001 / 02
21. Robust and direct estimation of 3-D motion and scene depth from stereo image sequences
Seongkee Park, In So Kweon
Pattern Recognition 2001 / 07
20. 3D object recognition using a new invariant relationship by single view
Kyoungsig Roh, In So Kweon
Pattern Recognition 2000 / 01
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