Computing occluding and transparent motions
International Journal of Computer Vision
International Journal of Robotics Research
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Threading Fundamental Matrices
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Metric calibration of a stereo rig
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Self-Calibration and Euclidean Reconstruction Using Motions of a Stereo Rig
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
A Scalable Video Stabilization Algorithm for Multi-camera Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Visual odometry for non-overlapping views using second-order cone programming
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Visible and infrared image registration using trajectories and composite foreground images
Image and Vision Computing
Estimating the mutual orientation in a multi-camera system with a non overlapping field of view
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Aligning sequences and actions by maximizing space-time correlations
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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This paper shows how two image sequences that have no spatial overlap between their fields of view can be aligned both in time and in space. Such alignment is possible when the two cameras are attached closely together and are moved jointly in space. The common motion induces “similar” changes over time within the two sequences. This correlated temporal behavior, is used to recover the spatial and temporal transformations between the two sequences. The requirement of “consistent appearance” in standard image alignment techniques is therefore replaced by “consistent temporal behavior”, which is often easier to satisfy.This approach to alignment can be used not only for aligning non-overlapping sequences, but also for handling other cases that are inherently difficult for standard image alignment techniques. We demonstrate applications of this approach to three real-world problems: (i) alignment of non-overlapping sequences for generating wide-screen movies, (ii) alignment of images (sequences) obtained at significantly different zooms, for surveillance applications, and, (iii) multi-sensor image alignment for multi-sensor fusion.