Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
Nonlinear disparity mapping for stereoscopic 3D
ACM SIGGRAPH 2010 papers
Scalable and coherent video resizing with per-frame optimization
ACM SIGGRAPH 2011 papers
Computational stereo camera system with programmable control loop
ACM SIGGRAPH 2011 papers
3D cinematography principles and their applications to stereoscopic media processing
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Stereoscopic 3D experience optimization using cropping and warping
SIGGRAPH Asia 2011 Sketches
Video Stereolization: Combining Motion Analysis with User Interaction
IEEE Transactions on Visualization and Computer Graphics
A Viewer-Centric Editor for 3D Movies
IEEE Computer Graphics and Applications
Depth Director: A System for Adding Depth to Movies
IEEE Computer Graphics and Applications
Content-Aware Display Adaptation and Interactive Editing for Stereoscopic Images
IEEE Transactions on Multimedia
Consistent stereo image editing
Proceedings of the 21st ACM international conference on Multimedia
Seamless stitching of stereo images for generating infinite panoramas
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
User assisted disparity remapping for stereo images
Image Communication
Depth manipulation using disparity histogram analysis for stereoscopic 3D
The Visual Computer: International Journal of Computer Graphics
Optimizing disparity for motion in depth
EGSR '13 Proceedings of the Eurographics Symposium on Rendering
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Stereoscopic videos have become very popular in recent years. Most of these videos are developed primarily for viewing on large screens located at some distance away from the viewer. If we watch these videos on a small screen located near to us, the depth range of the videos will be seriously reduced, which can significantly degrade the 3D effects of these videos. To address this problem, we propose a linear depth mapping method to adjust the depth range of a stereoscopic video according to the viewing configuration, including pixel density and distance to the screen. Our method tries to minimize the distortion of stereoscopic image contents after depth mapping, by preserving the relationship of neighboring features and preventing line and plane bending. It also considers the depth and motion coherences. While depth coherence ensures smooth changes of the depth field across frames, motion coherence ensures smooth content changes across frames. Our experimental results show that the proposed method can improve the stereoscopic effects while maintaining the quality of the output videos.