Research

Resarch interest: Computer Vision, Robotics, Machine Learning.

Visual Tracking Benchmark

benchmark13 For decades many visual trackers have been proposed, but there was little effort to quantitatively measure and compare their performance. In this work we provide a dataset which contains common test videos with hand-labeled groundtruth. The tracker library with standardized interface for massive evaluation enables the researchers to easily test and compare their trackers with the state-of-the-art trackers.
  • Yi Wu, Jonbwoo Lim*, Ming-Hsuan Yang, “Online Object Tracking: A Benchmark,” in CVPR 2013, [link] [pdf] [project page , code]


Online Environment Mapping (Visual SLAM)

oem Building the map of environment for localization and navigation is critical for scene understanding and robot operation. We propose a metric-topological mapping which holds the benefits of both metric maps and topological maps.
  • Jongwoo Lim*, jan-Michael Frahm, Marc Pollefeys, “Online Environment Mapping using Metric-topological Maps,” in IJRR, Vol. 31 Issue 12, Page 1394-1408, October 2012 [link]
    • Earlier version: Online Environment Mapping, in CVPR 2011 [link] [pdf]


Camera Motion Estimation

triquat linesfm Points are commonly used for structure from motion and ego-motion estimation. We investigated more robust and fast ways to use line features for motion estimation of a stereo camera rig.
  • Vivek Pradeep, Jongwoo Lim, “Egomotion Estimation Using Assorted Features,” in IJCV, Vol. 98, Issue 2, Page 202-216, 2012 [link]
    • Earlier version: Egomotion using Assorted Features, in CVPR 2010 [link] [pdf]
  • Manmohan Chandraker, Jongwoo Lim, David Kriegman, “Moving in Stereo: Efficient Structure and Motion Using Lines,” in ICCV 2009 [link] [pdf]


Other On-going Topics

  • Visual tracking.
  • Scene understanding.
  • Robot navigation.



Resarch Funds

  • [2015.06 - 2016.03] 미술품 원색 기록 보존 및 복원을 위한 Multi-spectral 이미징 기술 개발(한국콘텐츠진흥원)
  • [2015.10 - 2016.03] Depth sensor-based Visual SLAM (SKT)
  • [2015.05 - 2014.10] 주변 환경 감지를 통한 장애물 회피 경로 생성 알고리즘 (현대엔지비)
  • [2015.04 - 2015.12] Realtime SLAM 원천 기술 개발 (LG전자)
  • [2014.11 - 2016.04] 웨어러블 디바이스를 위한 광역/실시간 시각기반 위치인식 기술 (한국연구재단)
  • [2014.03 - 2014.12] C-ITRC <http://citrc.hanyang.ac.kr>
  • [2014.04 - 2015.02] 예지형 시각지능 원천 기술 개발 (미래부)
  • [2014.04 - 2014.11] Online Stereo-camera Calibration (LG전자)
  • [2013.09 - 2016.08] 다시점 블랙박스 영상을 이용한 교통사고현장 3차원 재구성 기술개발 (미래부)
  • [2012.04 - 2016.03] SLAM 기반 과제 (HONDA Research Institute)



Past Topics

Google Business Photos

photo Googel Business Photos is a service which brings the StreetView inside of local businesses. It requires automatic panorama stitching, panorama localization using structure from motion, and manual editing for misplaced panoramas.
  • Mark Colbert, Jean-Yves Bouguet, Jeff Beis, Spudde Childs, Daniel Filip, Luc Vincent, Jongwoo Lim, Scott Satkin, “Building indoor multi-panorama experiences at scale,” in ACM SIGGRAPH 2012 Talks, Article No. 24 [link]


Human Robot Interaction with ASIMO

robot In Honda Research Institute USA, inc. I worked on a human-robot interaction project. We built a system which makes ASIMO to play a memory game (card matching) with a child player. All sensing is done using the onboard stereo camera.
  • Victor Ng-Thow-Hing, Jongwoo Lim, Joel Wormer, Ravi Kiran Sarvadevabhatla, Carlos Rocha, Kikuo Fujimura, Yoshiaki Sakagami, “The memory game: Creating a human-robot interactive scenario for ASIMO,” in IROS 2008, pp. 779-786 [link] [pdf]


Incremental Visual Tracking

ivt01 ivt02 ivt03 The incremental subspace update algorithm with mean update is proposed in the paper. The simple but effective visual tracking algorithm is proposed which uses the incremental subspace update algorithm for appearance modeling and the particle filtering for motion estimation.
  • David Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang, “Incremental Learning for Robust Visual Tracking,” in IJCV, Vol. 77, No. 1-3, Pg. 125-141, May 2008 [link] [pdf] [project page]


Image Clustering

cluster Image clustering is to group images according to the identity or class of the objects in the images. Ideally the affinity measure must be insensitive to illumination variation or viewing direction changes in the images. We have proposed a few affinity measures for this purpose, and a general framework for hypergraph approximation.
  • Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David Kriegman, Serge Belongie, “Beyond Pairwise Clustering,” in CVPR 2005, vol. 2, pp. 838-845 [link] [abstract] [pdf]
  • Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Chih Lee, David Kriegman, “Image Clustering with Metric, Local Linear Structure and Affinity Symmetry,” in ECCV 2004, vol. 1, pp. 456-468 [link] [abstract] [pdf]
  • Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, David Kriegman, “Clustering Appearances of Objects Under Varying Illumination Conditions,” in CVPR 2003, vol 1, pp. 11-18 [link] [abstract] [pdf]