In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences
International Journal of Computer Vision - 1998 Marr Prize
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Unstructured lumigraph rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Multi-Frame Correspondence Estimation Using Subspace Constraints
International Journal of Computer Vision
Algebraic Functions For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Novel view synthesis in tensor space
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Physically-Valid View Synthesis by Image Interplation
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
Rendering real-world objects using view interpolation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Full-Frame Video Stabilization with Motion Inpainting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Re-cinematography: Improving the camerawork of casual video
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Single-Sensor Imaging: Methods and Applications for Digital Cameras
Single-Sensor Imaging: Methods and Applications for Digital Cameras
Content-preserving warps for 3D video stabilization
ACM SIGGRAPH 2009 papers
ACM Transactions on Graphics (TOG)
Using photographs to enhance videos of a static scene
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Bundled camera paths for video stabilization
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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We present a new video stabilization technique that uses projective scene reconstruction to treat jittered video sequences. Unlike methods that recover the full three-dimensional geometry of the scene, this model accounts for simple geometric relations between points and epipolar lines. Using this level of scene understanding, we obtain the physical correctness of 3D stabilization methods yet avoid their lack of robustness and computational costs. Our method consists of tracking feature points in the scene and using them to compute fundamental matrices that model stabilized camera motion. We then project the tracked points onto the novel stabilized frames using epipolar point transfer and synthesize new frames using image-based frame warping. Since this model is only valid for static scenes, we develop a time-view reprojection that accounts for nonstationary points in a principled way. This reprojection is based on modeling the dynamics of smooth inertial object motion in three-dimensional space and allows us to avoid the need to interpolate stabilization for moving objects from their static surrounding. Thus, we achieve an adequate stabilization when both the camera and the objects are moving. We demonstrate the abilities of our approach to stabilize hand-held video shots in various scenarios: scenes with no parallax that challenge 3D approaches, scenes containing nontrivial parallax effects, videos with camera zooming and in-camera stabilization, as well as movies with large moving objects.