Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
View interpolation for image synthesis
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Compact Representations of Videos Through Dominant and Multiple Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spline-Based Image Registration
International Journal of Computer Vision
PanoramaExcerpts: extracting and packing panoramas for video browsing
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Stereo Matching with Transparency and Matting
International Journal of Computer Vision - 1998 Marr Prize
International Journal of Computer Vision
Model-Based Brightness Constraints: On Direct Estimation of Structure and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mosaic representations of video sequences based on slice image analysis
Pattern Recognition Letters
Multi-Frame Correspondence Estimation Using Subspace Constraints
International Journal of Computer Vision
Novel View Synthesis by Cascading Trilinear Tensors
IEEE Transactions on Visualization and Computer Graphics
Direct Recovery of Planar-Parallax from Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Plane+Parallax, Tensors and Factorization
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Direct Recovery of Planar-Parallax from Multiple Frames
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Generalized Parallel-Perspective Stereo Mosaics from Airborne Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting View-Dependent Depth Maps from a Collection of Images
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
An Automated Method for Large-Scale, Ground-Based City Model Acquisition
International Journal of Computer Vision
Super resolution recovery for multi-camera surveillance imaging
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Automatic Panoramic Image Stitching using Invariant Features
International Journal of Computer Vision
Correspondence-free Structure from Motion
International Journal of Computer Vision
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
An efficient image-mosaicing method based on multifeature matching
Machine Vision and Applications
Precise ellipse estimation without contour point extraction
Machine Vision and Applications
View synthesis using stereo vision
View synthesis using stereo vision
An algorithm for fast image registration and feature matching for the purposes of image stitching
Proceedings of the 12th International Conference on Computer Systems and Technologies
Simple single view scene calibration
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Lens distortion calibration using level sets
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
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There has been a lot of activity recently surrounding the re-construction of photorealistic 3-D scenes and high-resolution images from video sequences. In this paper, we present some of our recent work in this area, which is based on the registration of multiple images (views) in a projective framework. Unlike most other techniques, we do not rely on special features to form a projective basis. Instead, we directly solve a least-squares estimation problem in the unknown structure and motion parameters, which leads to statistically optimal estimates. We discuss algorithms for both constructing planar and panoramic mosaics, and for projective depth recovery. We also speculate about the ultimate usefulness of projective approaches to visual scene reconstruction.