Alignment Using Distributions of Local Geometric Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Mosaicing: Wide Field of View Multispectral Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Mosaicing: High Dynamic Range in a Wide Field of View
International Journal of Computer Vision
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Seeing People in the Dark: Face Recognition in Infrared Images
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Analysis of Object Interactions in Dynamic Scenes
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Efficient multi-modal image registration using local-frequency maps
Machine Vision and Applications - Special issue: IEEE WACV
IEEE Transactions on Pattern Analysis and Machine Intelligence
Point Matching under Large Image Deformations and Illumination Changes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Mosaicing: Polarization Panorama
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multisensor Image Registration via Implicit Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition
International Journal of Computer Vision
Mutual information based registration of multimodal stereo videos for person tracking
Computer Vision and Image Understanding
Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy
International Journal of Computer Vision
Dynamosaicing: Mosaicing of Dynamic Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration of Challenging Image Pairs: Initialization, Estimation, and Decision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting
Proceedings of the 30th DAGM symposium on Pattern Recognition
Multisource data registration based on NURBS description of contours
International Journal of Remote Sensing
Infrared-visual image registration based on corners and hausdorff distance
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Exploiting inter-frame correlation for fast video to reference image alignment
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Online video registration of dynamic scenes using frame prediction
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Computer Vision and Image Understanding
Robust nonrigid multimodal image registration using local frequency maps
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Aligning sequences and actions by maximizing space-time correlations
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Improving NCC-based direct visual tracking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Conditional variance of differences: a robust similarity measure for matching and registration
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Thermal cameras and applications: a survey
Machine Vision and Applications
Rapid multimodality registration based on MM-SURF
Neurocomputing
Multi-modal time-of-flight based fire detection
Multimedia Tools and Applications
Hi-index | 0.00 |
This paper presents a method for alignment of images acquired by sensors of different modalities (e.g., EO and IR). The paper has two main contributions: (i) It identifies an appropriate image representation for multi-sensor alignment, i.e., a representation which emphasizes the common information between the two multi-sensor images, suppresses the non-common information, and is adequate for coarse-to-fine processing. (ii) It presents a new alignment technique, which applies global estimation to any choice of a local similarity measure. In particular, it is shown that when this registration technique is applied to the chosen image representation with a local-normalized-correlation similarity measure, it providesa new multi-sensor alignment algorithm which is robust to outliers, and applies to a wide variety of globally complex brightness transformations between the two images.Our proposed image representation does not rely on sparse image features (e.g., edge, contour, or point features). It is continuous and does not eliminate the detailed variations within local image regions. Our method naturally extends to coarse-to-fine processing, and applies even in situations when the multi-sensor signals are globally characterized by low statistical correlation.