Research on light field camera and music emotion recognition
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Modeling of image shutters and motion blur in analog and digital camera systems
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ACM Transactions on Graphics (TOG)
Efficient Video Rectification and Stabilisation for Cell-Phones
International Journal of Computer Vision
Motion detection with pyramid structure of background model for intelligent surveillance systems
Engineering Applications of Artificial Intelligence
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Bundled camera paths for video stabilization
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Due to the sequential-readout structure of complementary metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting in the so-called electronic rolling shutter that induces geometric image distortion when the object or the video camera moves during image capture. In this paper, we propose an image processing technique using a planar motion model to address the problem. Unlike previous methods that involve complex 3-D feature correspondences, a simple approach to the analysis of inter- and intraframe distortions is presented. The high-resolution velocity estimates used for restoring the image are obtained by global motion estimation, Bezier curve fitting, and local motion estimation without resort to correspondence identification. Experimental results demonstrate the effectiveness of the algorithm.