Search Results for author: Chang-Ryeol Lee

Found 5 papers, 0 papers with code

Gyroscope-aided Relative Pose Estimation for Rolling Shutter Cameras

no code implementations14 Apr 2019 Chang-Ryeol Lee, Ju Hong Yoon, Min-Gyu Park, Kuk-Jin Yoon

The rolling shutter camera has received great attention due to its low cost imaging capability, however, the estimation of relative pose between rolling shutter cameras still remains a difficult problem owing to its line-by-line image capturing characteristics.

Pose Estimation

Inertial-aided Rolling Shutter Relative Pose Estimation

no code implementations1 Dec 2017 Chang-Ryeol Lee, Kuk-Jin Yoon

Relative pose estimation is a fundamental problem in computer vision and it has been studied for conventional global shutter cameras for decades.

Pose Estimation

Automatic Content-Aware Projection for 360deg Videos

no code implementations ICCV 2017 Yeong Won Kim, Chang-Ryeol Lee, Dae-Yong Cho, Yong Hoon Kwon, Hyeok-Jae Choi, Kuk-Jin Yoon

Finally, the temporal consistency for image projection is enforced for producing temporally stable normal-view videos.

Monocular Visual Odometry with a Rolling Shutter Camera

no code implementations24 Apr 2017 Chang-Ryeol Lee, Kuk-Jin Yoon

However, the MVO still has trouble in handling the RS distortion when the camera motion changes abruptly (e. g. vibration of mobile cameras causes extremely fast motion instantaneously).

Monocular Visual Odometry motion prediction

Online Multi-Object Tracking via Structural Constraint Event Aggregation

no code implementations CVPR 2016 Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, Kuk-Jin Yoon

In addition, to further improve the robustness of data association against mis-detections and clutters, a novel event aggregation approach is developed to integrate structural constraints in assignment costs for online MOT.

Multi-Object Tracking Multiple Object Tracking +2

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