Stereo Without Epipolar Lines: A Maximum-Flow Formulation
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Theory and Practice of Projective Rectification
International Journal of Computer Vision
Depth Discontinuities by Pixel-to-Pixel Stereo
International Journal of Computer Vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Multiview depth-image compression using an extended H.264 encoder
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Multiview Video Coding Using View Interpolation and Color Correction
IEEE Transactions on Circuits and Systems for Video Technology
Multiview Image Coding Based on Geometric Prediction
IEEE Transactions on Circuits and Systems for Video Technology
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Rate-distortion analysis of rectification-based view interpolation for multiview video coding
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
View interpolation based multiple description coding of multiview images
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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A projective rectification-based view interpolation algorithm is developed for multiview video coding and free viewpoint video. It first calculates the fundamental matrix between two views without using any camera parameter. The two views are then resampled to have horizontal and matched epipolar lines. One-dimensional disparity is estimated next, which is used to interpolate the image for an intermediate viewpoint. After unrectification, the interpolated view can be displayed directly for free viewpoint video purpose. It can also be used as a reference to encode data of an intermediate camera. Experimental results show that the interpolated views can be 3 dB better than existing method. Video coding results illustrate that the method can provide up to 1.3 dB improvement over JMVC.