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Kuk-Jin Yoon, In So Kweon, Chang-Yeong Kim and Yang-Seok Seo, “Moving Object Segmentation Based on Human Visual Sensitivity,” Lecture Notes in Computer Science-Biologically Motivated Computer Vision (BMCV), vol. 1811, pp. 62-72, 2000.

By admin 2018년 11월 20일

Moving Object Segmentation Based on Human Visual Sensitivity– Author : Kuk-Jin Yoon, In So Kweon, Chang-Yeong Kim and Yang-Seok Seo – Published Date : MAy. 2000 – Place of publication : Lecture Notes in Computer Science-Biologically Motivated Computer Vision (BMCV) Abstract The edge and motion are the main features that human visual system (HVS) perceives intensively. This paper…

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Kuk-Jin Yoon, Yoo Jin Choi, and In So Kweon, “Fast Separation of Reflection Components Using a Specularity-Invariant Image Representation,” IEEE International Conference on Image Processing (ICIP), pp. 973-976, 2006.

By admin 2018년 11월 20일

Fast Separation of Reflection Components Using a Specularity-Invariant Image Representation– Author : Kuk-Jin Yoon, Yoo Jin Choi, and In So Kweon – Published Date : 2006 – Place of publication : IEEE International Conference on Image Processing (ICIP) Abstract In this paper, we propose a fast method for separating reﬂection components using a single color image. We…

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Jong-Eun Ha, Jin-Young Yang, Kuk-Jin Yoon, and In So Kweon, “Self-Calibration Using the Linear Projective Reconstruction,” IEEE International Conference on Robotics and Automation (ICRA), vol. 1, pp. 885-890, 2000.

By admin 2018년 11월 20일

Jong-Eun Ha, Jin-Young Yang, Kuk-Jin Yoon, and In So Kweon, “Self-Calibration Using the Linear Projective Reconstruction,” IEEE International Conference on Robotics and Automation (ICRA), vol. 1, pp. 885-890, 2000.Self-Calibration Using the Linear Projective Reconstruction – Author : Jong-Eun Ha, Jin-Young Yang, Kuk-Jin Yoon, and In So Kweon – Published Date : April. 2000 – Place of publication…

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Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Background Robust Object Labeling by Voting of Weight-Aggregated Local Features,” International Conference on Pattern Recognition (ICPR), pp. 219-222, 2006.

By admin 2018년 11월 20일

Background Robust Object Labeling by Voting of Weight-Aggregated Local Features– Author : Sungho Kim, Kuk-Jin Yoon, and In So Kweon – Published Date :2006 – Place of publication : International Conference on Pattern Recognition (ICPR) Abstract In this paper, we present a new voting-based object labeling method that is robust to background clutter. The conventional simple voting method…

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Kuk-Jin Yoon and In So Kweon, “Correspondence Search in the Presence of Specular Highlights using Specular-Free Two-Band Images,” Lecture Notes in Computer Science-Asian Conference on Computer Vision (ACCV), vol. 3852, pp. 761-770, 2006.

By admin 2018년 11월 20일

Correspondence Search in the Presence of Specular Highlights using Specular-Free Two-Band Images– Author : Kuk-Jin Yoon and In So Kweon – Published Date :2006 – Place of publication : Lecture Notes in Computer Science-Asian Conference on Computer Vision (ACCV) Abstract In this paper, we present a new method to deal with specular highlights in correspondence search. The proposed…

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Kuk-Jin Yoon, In So Kweon, Chan-Ho Lee, Jong-Kyu Oh, and In-Taek Yeo, “Landmark Design and Real-Time Landmark Tracking Using Color Histogram for Mobile Robot Localization,” International Symposium on Robotics (ISR), pp. 1083-1088, 2001.

By admin 2018년 11월 20일

Landmark Design and Real-Time Landmark Tracking Using Color Histogram for Mobile Robot Localization– Author : Kuk-Jin Yoon, In So Kweon, Chan-Ho Lee, Jong-Kyu Oh, and In-Taek Yeo – Published Date : October.2001 – Place of publication : International Symposium on Robotics (ISR) Abstract This paper describes simple artificial landmark model and robust landmark detection and tracking algorithm…

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Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity,” IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR), pp. 193-200, 2006.

By admin 2018년 11월 20일

Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity– Author : Sungho Kim, Kuk-Jin Yoon, and In So Kweon – Published Date : 2006 – Place of publication : IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR) Abstract Online two-dimensional (2D) multi-object tracking (MOT) is a challenging task…

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Kuk-Jin Yoon, Gi-Jeong Jang, Sung-Ho Kim, and In So Kweon, “Fast Landmark Tracking and Localization Algorithm for the Mobile Robot Self-Localization,” IFAC Workshop on Mobile Robot Technology, pp. 190-195, 2001.

By admin 2018년 11월 20일

Fast Landmark Tracking and Localization Algorithm for the Mobile Robot Self-Localization– Author : Kuk-Jin Yoon, Gi-Jeong Jang, Sung-Ho Kim, and In So Kweon – Published Date : 2001 – Place of publication : IFAC Workshop on Mobile Robot Technology Abstract We present a simple artificial landmark model and a robust landmark tracking algorithm for mobile robot localization. The…

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Kuk-Jin Yoon and In So Kweon, “Stereo Matching with Symmetric Cost Functions,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2371-2377, 2006.

By admin 2018년 11월 20일

Stereo Matching with Symmetric Cost Functions– Author : Kuk-Jin Yoon and In So Kweonn – Published Date : 2006 – Place of publication : IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Abstract Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random ﬁeld (MRF) and by solving an optimization problem…

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Kuk-Jin Yoon and In So Kweon, “Adaptive Support-Weight Approach for Correspondence Search,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 28, no. 4, pp. 650-656, 2006.

By admin 2018년 11월 20일

Adaptive Support-Weight Approach for Correspondence Search– Author : Kuk-Jin Yoon and In So Kweon – Published Date : 2006 – Place of publication : IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Abstract We present a new window-based method for correspondence search using varying support-weights. We adjust the support-weights of the pixels in a given support window based on…

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