Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
A General Framework for Trajectory Triangulation
Journal of Mathematical Imaging and Vision
ACM SIGGRAPH 2004 Papers
Temporal Synchronization of Video Sequences in Theory and in Practice
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Sequence-to-Sequence Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unstructured video-based rendering: interactive exploration of casually captured videos
ACM SIGGRAPH 2010 papers
Video synchronization using temporal signals from Epipolar lines
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Non-rigid dense correspondence with applications for image enhancement
ACM SIGGRAPH 2011 papers
Balanced exploration and exploitation model search for efficient epipolar geometry estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Tri-focal tensor-based multiple video synchronization with subframe optimization
IEEE Transactions on Image Processing
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Dynamic events such as family gatherings, concerts or sports events are often captured by a group of people. The set of still images obtained this way is rich in dynamic content but lacks accurate temporal information. We propose a method for photo-sequencing --- temporally ordering a set of still images taken asynchronously by a set of uncalibrated cameras. Photo-sequencing is an essential tool in analyzing (or visualizing) a dynamic scene captured by still images. The first step of the method detects sets of corresponding static and dynamic feature points across images. The static features are used to determine the epipolar geometry between pairs of images, and each dynamic feature votes for the temporal order of the images in which it appears. The partial orders provided by the dynamic features are not necessarily consistent, and we use rank aggregation to combine them into a globally consistent temporal order of images. We demonstrate successful photo sequencing on several challenging collections of images taken using a number of mobile phones.