A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric invariance in computer vision
Geometric invariance in computer vision
3-D interpretation of optical flow by renormalization
International Journal of Computer Vision
Statistical analysis of geometric computation
CVGIP: Image Understanding
Model acquisition using stochastic projective geometry
Model acquisition using stochastic projective geometry
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
Characterizing the uncertainty of the fundamental matrix
Computer Vision and Image Understanding
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Ambiguity in Structure from Motion: Sphere versus Plane
International Journal of Computer Vision
Performance Evaluation and Analysis of Vanishing Point Detection Techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
MLESAC: a new robust estimator with application to estimating image geometry
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Multi-Frame Estimation of Planar Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Robot Vision
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Contribution to the Determination of Vanishing Points Using Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Paraperspective Factorization Method for Shape and Motion Recovery
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Acquisition of a Large Pose-Mosaic Dataset
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Interactive Construction of 3D Models from Panoramic Mosaics
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Feature Registration Framework Using Mixture Models
MMBIA '00 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
Structure and motion from a sparse set of views
ISCV '95 Proceedings of the International Symposium on Computer Vision
A parallel feature tracker for extended image sequences
ISCV '95 Proceedings of the International Symposium on Computer Vision
Ego-Motion and Omnidirectional Cameras
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
PhotoBuilder -- 3D Models of Architectural Scenes from Uncalibrated Images
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Calibrated, Registered Images of an Extended Urban Area
International Journal of Computer Vision
Planar Ego-Motion Without Correspondences
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Epipolar Constraints for Vision-Aided Inertial Navigation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Pan-tilt-zoom camera calibration and high-resolution mosaic generation
Computer Vision and Image Understanding - Special issue on omnidirectional vision and camera networks
Distributed metric calibration of ad hoc camera networks
ACM Transactions on Sensor Networks (TOSN)
Correspondence-Free Determination of the Affine Fundamental Matrix
IEEE Transactions on Pattern Analysis and Machine Intelligence
Correspondence-free Structure from Motion
International Journal of Computer Vision
Determining vision graphs for distributed camera networks using feature digests
EURASIP Journal on Applied Signal Processing
Motion estimation by decoupling rotation and translation in catadioptric vision
Computer Vision and Image Understanding
Scalable vision graph estimation for a vision sensor network
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Propagation-based dynamic topology estimation framework for vision sensor networks
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Communications of the ACM
A systematic approach for 2D-image to 3D-range registration in urban environments
Computer Vision and Image Understanding
Self-localizing smart camera networks
ACM Transactions on Sensor Networks (TOSN)
A multi-stage linear approach to structure from motion
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Modeling Coverage in Camera Networks: A Survey
International Journal of Computer Vision
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We describe a linear-time algorithm that recovers absolute camera orientations and positions, along with uncertainty estimates, for networks of terrestrial image nodes spanning hundreds of meters in outdoor urban scenes. The algorithm produces pose estimates globally consistent to roughly 0.1° (2 milliradians) and 5 centimeters on average, or about four pixels of epipolar alignment.We assume that adjacent nodes observe overlapping portions of the scene, and that at least two distinct vanishing points are observed by each node. The algorithm decouples registration into pure rotation and translation stages. The rotation stage aligns nodes to commonly observed scene line directions; the translation stage assigns node positions consistent with locally estimated motion directions, then registers the resulting network to absolute (Earth) coordinates.The paper's principal contributions include: extension of classic registration methods to large scale and dimensional extent; a consistent probabilistic framework for modeling projective uncertainty; and a new hybrid of Hough transform and expectation maximization algorithms.We assess the algorithm's performance on synthetic and real data, and draw several conclusions. First, by fusing thousands of observations the algorithm achieves accurate registration even in the face of significant lighting variations, low-level feature noise, and error in initial pose estimates. Second, the algorithm's robustness and accuracy increase with image field of view. Third, the algorithm surmounts the usual tradeoff between speed and accuracy; it is both faster and more accurate than manual bundle adjustment.