Robotics and Computer Vision Lab

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International Conference
2015.08.31 17:23

Complementary Sets of Shutter Sequences for Motion Deblurring

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저 자 Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon
학 회 IEEE International Conference on Computer Vision (ICCV)
Notes This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.2010- 0028680). Hae-Gon Jeon was partially supported by Global PH.D Fellowship Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2015H1A2A1034617).
논문일시(Year) 2015
논문일시(Month) 12
In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique.
The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details.
We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera.
The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.

List of Articles
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252. Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry
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251. High-quality Depth from Uncalibrated Small Motion Clip
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250. Stereo Matching with Color and Monochrome Cameras in Low-light Conditions
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249. Human Action Recognition by Attention and Object Network
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248. Combinatorial Approach for Lane Detection using Image and LIDAR Reflectance
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247. Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
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246. 6-DOF Direct Homography Tracking with Extended Kalman Filter
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245. AttentionNet: Aggregating Weak Directions for Accurate Object Detection
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» Complementary Sets of Shutter Sequences for Motion Deblurring
Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2015 / 12
243. High Quality Structure from Small Motion for Rolling Shutter Cameras
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2015 / 12
242. Accurate Camera Calibration Robust to Defocus using a Smartphone
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241. Relative Attributes with Deep Convolutional Neural Network
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240. Line Assisted Vision Applications in Structured Environments
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239. Fused robot pose estimation using embedded and external camera
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238. Low-Cost Synchronization for Multispectral Cameras
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237. Geometrical Calibration of Multispectral Calibration
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236. An Approach for Local Feature Evaluation
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